diff --git a/tutorial/README.md b/tutorial/README.md index 3d04e06..7698736 100644 --- a/tutorial/README.md +++ b/tutorial/README.md @@ -1,929 +1,271 @@ -# NOTE: -This tutorial was pulled from a PDF file into markdown. Many things may display incorrectly or -be inaccurate. Please report any problems via the issues page or create a PR to address them. - - - -# ManifoldEM User Manual -Evan Seitz, Robert Blackwell, Ghoncheh Mashayekhi, Hstau Liao, Suvrajit Maji, -Peter Schwander*, Abbas Ourmazd* and Joachim Frank* - -Version 0.3.0 - -The dataset for this tutorial can be downloaded: -[RyR1GCs_demo.tar.gz](https://users.flatironinstitute.org/~rblackwell/manifold/RyR1GCs_demo.tar.gz) - -# Introduction -This tutorial provides an overview of ManifoldEM (Beta version) in Python 3 for determination of -cryo-EM conformational continua, as was first introduced by Dashti et al. (2014). The tutorial -covers the entire manifold analysis workflow, from data preparation to construction of free-energy -landscape. Carefully going through this tutorial will prepare you for running ManifoldEM on your -own data. This tutorial uses a demo data set provided by Mashayekhi (2020), which is a small -subset of the experimental data provided by Amédée des Georges et al. (2016) used in the -functional pathway analysis of ryanodine receptor 1 (RyR1; Dashti et al., 2020). As such, this data -set should only be used for help in understanding the software and for training purposes. If you -have any questions about ManifoldEM after reading this entire document, carefully check the -ManifoldEM Python GitHub forum for similar inquiries or – if no similar posts exist – create a new -thread detailing your inquiry. As well, if you find any errors while reading this document, please let -us know. - -## 1.1 ManifoldEM Motivation -Molecular machines are macromolecular assemblies – consisting of proteins or nucleoproteins – -that perform basic life functions and undergo numerous conformational changes in the course of -their work cycles. For some molecular machines, such as the ribosome, it has been possible to -develop in vitro systems with all components necessary to run productive work cycles delivering the -product, in this instance a protein. Even though the atomistic composition of molecules ultimately -defines a finite step size, the states form a virtual continuum due to the complexity of the structures -involved and the large number of steps in their interactions. -Through application of advanced imaging techniques, single-particle cryogenic electron microscopy -(cryo-EM; Frank 2006; 2016; 2017) allows these macromolecules to be individually visualized after -rapid freezing in vitreous ice at a rate that is assumed to be faster than the overall reconfiguration -time of the system (Whitford et al., 2011). As a result, the ensemble of molecules closely -approximates the thermal-equilibrium distribution of states immediately prior to being frozen. -Cryo-EM aims to capture the activity of the macromolecule in its complete form, encompassing its -continuum of accessible states. - -The depth of information captured by cryo-EM has inspired numerous data-analytic approaches -that aim to systematically uncover these ensemble-characteristics. The algorithms underlying the -approach by Dashti et al. (2014) and later developments (Dashti et al., 2020 and Mashayekhi 2020), -summarily referred to as ManifoldEM, are one such approach. ManifoldEM uses geometric -machine-learning to identify the set of leading conformational motions best able to describe the -function of a molecular machine. It is based on the premise that, for a sufficiently large set of -snapshots obtained by single-particle cryo-EM, even energetically unfavored states of a molecule -are observed. As a consequence, the snapshots – by virtue of their similarity relationships – form a -quasi-continuum in high-dimensional space. Through manifold embedding, the data are -represented in a minimal low-dimensional space where coordinate axes express modes of the -conformational motions in a way that has to be discovered on a case-to-case basis. In the original -paper (Dashti et al., 2014), these modes were termed “reaction coordinates,” a term we wish to -avoid as it has different connotations in other fields. Instead, following the terminology of Dashti et -al. (2020), we will use “conformational coordinates” (CCs, for short) throughout this document. -Importantly, the number of sightings of a molecule in a particular state can be interpreted, via the -Boltzmann relationship, as a measure of free energy (Fischer et al., 2010). This transformation adds -probabilities to this space, giving the thermodynamic likelihood of a hop from any one state to any -of its immediate neighbors. The global geometry of the energy landscape characterizes the -molecular machine’s navigational probabilities, with deep wells representing distinct regions of -conformational states and mountainous regions constraining the transitions between them (Seitz -and Frank, 2020). Further, since specific sequences of conformations give rise to biomolecular -function, this descriptive mapping also identifies the molecular machine’s functional dynamics. -Through ManifoldEM, the potential now exists to create the conformational free-energy landscape -for any molecular machine capable of being visualized by cryo-EM. Results from previous -ManifoldEM studies on biological systems – including the ribosome (Dashti et al., 2014), ryanodine -receptor (Dashti et al., 2020) and SARS-CoV-2 spike protein (Sztain et al., 2021) – have proven its -viability and its potential to provide new information on the functional dynamics of biomolecules. - -## 1.2 ManifoldEM Software Platforms -The original ManifoldEM methodology (Dashti et al., 2014) was implemented using Matlab code, -and has recently been made available for Matlab users (Mashayekhi, 2020). The ManifoldEM Python -Beta release mirrors an earlier (2019) 1D version of the Matlab code, except for a number of -additional enhancements to be elaborated on below. Importantly, in this Beta release, only the -generation of 1D energy paths have been made available. It is a work in progress to extend this -software package to incorporate 2D energy landscapes as done in the current Matlab package -(Mashayekhi, 2020). In addition, it is our plan for future ManifoldEM Python distributions to -incorporate an alternative method – ESPER: Embedded Subspace Partitioning and Eigenfunction -Realignment (Seitz et al., 2021) – able to combine with this current framework with potential to -enhance the quality of its final outputs. There are also several limitations to the current ManifoldEM -method that have been outlined by Mashayekhi (2020) and Seitz et al. (2021) – and detailed later in -Appendix E – which we believe ESPER is able to circumvent. As a final note, as the more recent -version of the Matlab code has now been published as a separate, actively-managed branch -(Mashayekhi, 2020), there is a future possibility of increasingly different, distinct features arising in -the Matlab and Python versions. - -The Python code comprises two features not contained in the original Matlab code: (1) an -implementation of an automated angular propagation algorithm (Maji et al., 2020); and (2) an -advanced graphic user interface (GUI) that integrates all Python code, communicates with all -relevant files and facilitates the execution of essential operations, while providing informative -visualization of important intermediate and final outputs. A few words about the importance of the -GUI in steering and controlling the ManifoldEM analysis. Many advanced software systems now -employed in cryo-EM are of the “black box” type, allowing only the specification of a command -stream without feedback to the user, and without providing an intuition about the way parameter -choices affect the outcome (Maji and Frank, 2021). In this they sharply differ from interactive -modular software systems that popularized early research in single-particle cryo-EM (Frank et al., -1996; van Heel et al., 1996) and offered instant feedback. The diversity in the nature of the input -data and in the kinds of questions asked in the ManifoldEM approach make the black box-type of -user control difficult to sustain even by experts, and virtually impossible in the hands of non-expert -users. The GUI presented here, by providing instant feedback on the impact of every parameter -choice, puts the user firmly in the driver’s seat, allowing them to steer the processing in the desired -direction. - -## 1.3 ManifoldEM Alpha Release -Internal testing and debugging of code was conducted during the process of translating Matlab code -into Python and integration with GUI. More recently, a workflow for producing physically plausible -synthetic data was created (Seitz et al., 2019) and implemented for testing the fidelity of all modules -with heightened precision. By means of this flexible tool, the need for many of our -previously-mentioned innovations was first encountered and answered. In order to expand our -awareness of potential problems in software, performance and interface, we organized and -conducted an Alpha version release of the ManifoldEM Python suite, with scope limited to -acquisition of 1D energy landscape. All code was published on a private GitHub repository with -detailed documentation provided on installation, initiation and overall use of the ManifoldEM GUI. -The length of our alpha trial spanned approximately eight months, beginning in February and -ending by late August, 2019. - -Our Alpha user group encompassed 10 individuals, comprising scientists and engineers from -various (cryo-EM related) fields. Extensive communications with these users were conducted by our -team via email or private GitHub forum to provide guidance on operations and errors encountered. -Alpha users were specifically instructed to test the software using their own or others’ published -online cryo-EM data sets. Both options were exercised, and as these users worked with a variety of -operating systems and hardware, we encountered a unique range of situations and unique sets of -problems to explore. This experience made us aware of shortcomings in documentation of -workflow, helped guide our team towards optimizing software performance and provided -opportunities to enhance useability through the user manual and tutorial now included in this -release. We hope this Beta release will likewise provide our team with useful feedback for -improvement, achievable now from a wider and more diverse audience. - -## 2 Installation -We next detail the steps required to install the ManifoldEM Python 3 environment, which uses -packages required for visualization (frontend) and calculations (backend). The GUI is programmed -using PyQt5 and TraitsUI, with data visualizations achieved via Mayavi (3D) and Matplotlib (2D). -The majority of backend calculations are performed using NumPy. We also note that this Beta -release has only been thoroughly tested on Linux and MacOS operating systems. - -## 2.1 Getting Started -We recommend using a unique directory for each cryo-EM data set you want to analyze (hereby -referred to as the project directory). The project directory can be downloaded from the GitHub -ManifoldEM_Python master branch via the clone or download button near the top of the main -page. Users can elect to either (1) download a .zip file and move it to their directory of choice – -unzipping the package therein – or (2) navigate to their directory of choice in the command line -interface (CLI) and perform the action: git clone , where is the GitHub-provided -URL link (sans brackets). In either case, the ManifoldEM project directory will be created at this -location and contain all the files needed to run the program. -Each ManifoldEM project directory should come equipped with: (1) a modules folder where all -backend algorithms are stored; (2) a GUI file for running the user interface; (3) an icons folder for -GUI graphics; (4) a copy of this manual; and (5) licensing information. You may find it convenient to -store your relevant cryo-EM input files within this newly created project directory. The root folder -name can be initially renamed to uniquely correspond to your project; however, it is imperative that -this name is not altered after a new project has been initiated, and that the core files within the -project directory are not edited or moved. - -## 2.2 Installing the Environment -Before initializing the GUI, you need a python environment. Either install a version of conda or recent python3 distribution. - -If using a python virtual environment: -```sh +# FI-ManifoldEM Quick Start Tutorial + + +## Introduction + +This tutorial walks through the analysis of two datasets. First a quick CLI-only tutorial of a great circle Ryanodine Receptor (RyR) dataset. Then a more in depth walk through of the GUI with a synthetic thyroglobulin dataset generated for the [Flatiron Institute Cryo-EM Heterogeniety Challenge](https://www.simonsfoundation.org/flatiron/center-for-computational-biology/structural-and-molecular-biophysics-collaboration/heterogeneity-in-cryo-electron-microscopy/). Both of these analyses using FI-ManifoldEM are also presented in [Ojha et al *Acta Cryst D*. 2025](https://doi.org/10.1107/S2059798325001469). Note that the CLI is more fully-described in [the main README.md](https://github.com/flatironinstitute/ManifoldEM/tree/main?tab=readme-ov-file#basic-command-line-interface), but the relevant commands are presented here alongside the GUI pipeline for clarity. If you have any issues with or find any errors in this tutorial, please let us know by [opening a new issue](https://github.com/flatironinstitute/ManifoldEM/issues). + + +### A brief history of ManifoldEM +The motiviation behind developing the Manifold Embedding method for cryo-electron microscopy (cryo-EM) (ManifoldEM for short) is that particle stacks in cryo-EM give access to the conformational landscape of the biomolecule that has been imaged. Rather than high resolution discrete states, which are given by more standard analysis pipelines, ManifoldEM provides access to the continuous trajectories along this conformational landscape. The method was first introduced by [Dashti et al. *PNAS* 2014](https://doi.org/10.1073/pnas.1419276111) in an analysis of an apo ribosome dataset, and was subsequently used in the functional pathway analysis of ryanodine receptor 1 (RyR1) in [Dashti et al., *Nature Comms* 2020](https://doi.org/10.1038/s41467-020-18403-x). These analyses were performed with [MATLAB code](https://github.com/GMashayekhi/ManifoldEM_Matlab). This particular version of ManifoldEM is a descendant of that MATLAB code, but more directly is a fork of [the ManifoldEM_Python repository](https://github.com/evanseitz/ManifoldEM_Python). + +## Installation +To install FI-ManifoldEM we recommend following the steps on [the main README.md](https://github.com/flatironinstitute/ManifoldEM?tab=readme-ov-file#installation), which are also detailed below. +The main hurdle for installation are the packages required for the GUI, which +uses PyQt5 and TraitsUI, with data visualizations achieved via Mayavi (3D) and Matplotlib (2D). +The majority of backend calculations are performed using NumPy, which has fewer installation hiccups, thus we +recommend the CLI for those with trouble installing the GUI-dependencies. + +Installation should work with in any modern Python/conda environment (Python 3.9+, though `mayavi` and +`pyqt` packages don't always immediately work with the most recent version of Python). If you don't +need the GUI, feel free to omit the "[gui]" part of the install command! + +Python: +```bash +# create virtual environment. feel free to change the path! python3 -m venv ~/envs/manifoldem source ~/envs/manifoldem/bin/activate -pip install git+https://github.com/flatironinstitute/ManifoldEM + +pip install --upgrade pip +pip install "manifoldem[gui] @ git+https://github.com/flatironinstitute/ManifoldEM" + +manifold-gui ``` -Or with conda: -```sh -conda create -n manifoldem -conda activate manifold em -pip install git+https://github.com/flatironinstitute/ManifoldEM +conda: +```bash +conda create -n manifoldem python=3.10 -y +conda activate manifoldem + +pip install "manifoldem[gui] @ git+https://github.com/flatironinstitute/ManifoldEM" + +manifold-gui ``` Note that when using conda, this bypasses conda's package management system and can lead to problems if you later install packages into this environment with `conda install`. It's recommended to keep an environment purely for `ManifoldEM`. -Now all you need to run this program, once your environment is activated, is to run -`manifold-gui` - -# 3 Imports Tab -Upon opening the ManifoldEM Python GUI, you will be presented with the option to start a new -project or resume an existing one. If this wasn't your first time running the GUI, you could resume -progress at this point on a previous project by selecting that project's parameters .pkl file. -After selecting to start a new project, you will land on the first tab of the GUI (the Import tab), where -a number of fields are present requiring specific inputs. In order, these fields are: Average Volume; -Alignment File; Image Stack; Mask Volume; Project Name; Pixel Size; Resolution; Object Diameter and -Aperture Index. As well, two non-editable fields exist for Shannon Angle and Angle Width. We will -next go through each of these inputs in turn. - -(As a note for those unfamiliar with cryo-EM terminology, the use of “volume” above is unique to the -cryo-EM community, and is shorthand for a “3D reconstruction” or, more technically, a “3D Coulomb -potential map”. Throughout this document, we will use “volume” to designate a 3D Coulomb -potential map resulting from 3D reconstruction in cryo-EM). - -## 3.1 Average Volume -For this entry, browse for your molecule's Coulomb potential map (.mrc). For the RyR1 data set, -search for the file RyR1_AvgVol_Binned.mrc in the \demo directory of the ManifoldEM Python -repository. If you are running your own data set, this volume can be obtained by performing 3D -Auto-Refine on your alignment file in RELION. This average volume file will only be used to help you -navigate key aspects of your molecule throughout the ManifoldEM GUI. It has no other purpose in -the workflow. - -## 3.2 Alignment File -For this entry, browse for your molecule's alignment file (.star), which links each of the 2D images -in the image stack to their corresponding orientational angles and related microscopy parameters. -This file is the product of orientational recovery via RELION as obtained either prior to 3D -classification or after combining a subset of classes from 3D classification. Please see the Resolution -section for guidelines on achieving optimal results. If running with the demo RyR1 data set, search -for the file RyR1GCs_clustRem.star. ManifoldEM requires (at minimum) the following parameters -within the alignment file: Image Name; Angle Rot; Angle Tilt; Angle Psi; Origin X; Origin Y; Defocus U; -Defocus V; Voltage and Spherical Aberration. To note, ManifoldEM is not currently set up to calculate -elliptical defocus; instead, it treats all cases of defocus as spherical. As well, although the software is -set up to handle image recentering, if your original micrographs are available, we recommend -recentering before ManifoldEM (and thus also setting Origin X and Origin Y values in the alignment -file to zero) as to avoid introduction of padding artifacts that could lower the fidelity of the distance -matrix. - -We also note that ManifoldEM accepts both former and current (version-3.1) RELION formats. The -script read_alignfile.py automates this decision based on the presence of “data_optics” in the -header of the alignment file. Please consult the demo file RyR1GCs_clustRem.star as reference for -pre-3.1 formatting. If using an alternative package (e.g., cryoSPARC), alignment files will need to be -converted appropriately. For the example of using cryoSPARC, tools such as PyEM can be used to -convert to RELION. - -## 3.3 Image Stack -For this entry, browse for your molecule's image stack (.mrcs), which is the set of all individual -molecular images obtained from particle picking. If running with the demo RyR1 data set, search for -the file RyR1GCs_clustRem.mrcs. We suggest that all images are unbinned and standardized (with -average density in the background approximately 0 and standard deviation in noise approximately -1). If you have multiple image stack files spread out across one or many folders, we also require they -first be joined into one singular stack for import into ManifoldEM. This can be done using the image -stacks' corresponding alignment file via the RELION command: -relion_preprocess --operate_on FOO.star --operate_out BAR -This operation will create a new (possibly smaller) alignment file and image stack containing only -those images referenced in the original alignment file. - -## 3.4 Mask Volume -This entry is optional and should be included if you wish to mask out a specific region of your -molecule for processing in ManifoldEM. If running with the demo RyR1 data set, you can leave this -entry blank. Using this volumetric mask, all exterior voxels/pixels will be ignored during all future -computations (i.e., Distances and Optical Flow, which will be discussed later in this manual). -Volume Masks must be created external to ManifoldEM. While several methods exist, here we detail -one such workflow using Chimera and RELION. Assuming you have access to your macromolecule’s -structural information (in the form of 3D atomic coordinates from the PDB), Chimera’s molmap -command (along with a given input resolution; e.g., 20) can be used, followed by resampling of that -output volume (#1) onto the original coordinates. For example, this last step can be achieved by -importing your class average #0 into the scene and translating the new volume #1 to match its -position, then running vop resample #1 onGrid #0 to produce a resampled volume (#2). Next, -alter the isosurface level of the volume #2 in Chimera as needed and record the final number. After -saving this volume to file, relion_mask_create can be used (making sure to set the threshold ---ini_threshold in correspondence with your preferred isosurface level from Chimera) to create -an inclusion mask. - -## 3.5 Project Name -This entry is optional and can be used for supplying names for different projects within the same -project directory. If no name is provided, the current date and time (taken when the project was -initialized) will be used. This project name will be used in the titles of both the outputs_ folder (containing all backend calculations) and params_ file (containing all -user-defined parameters). If you choose a project name that is already being used within the same -project directory, you will be asked to either choose a different name or overwrite the previous -outputs folder and parameters file before proceeding to the next tab. - -## 3.6 Pixel Size -This parameter defines the pixel size (Å/pixel) of the camera used to obtain your cryo-EM images. -This value can be found within your alignment file (rlnPixelSize), or if not present there -explicitly, can be obtained by dividing the value for rlnDetectorPixelSize by -rlnMagnification. For example, if your STAR alignment file shows a Detector Pixel Size of 5 𝜇m -and Magnification of 31000, your Pixel Size can be obtained via: 5e-6 / 31000 = 1.6129e-10. -If running with the demo RyR1 data set, set this value to 1.255 Å. As a note on RyR1, the published -Pixel Size actually deviates from the value obtained via the above calculation due to an additional -calibration technique. As a rule of thumb, if using a previously published data set, always make sure -to use the final value as listed in the publication itself. - -## 3.7 Resolution -This parameter defines the resolvability in the Coulomb potential map of your molecule obtained -from Fourier Shell Correlation. If running with the sample RyR1 data set, set this value to 5 Å. If -using your own data set, the resolution can be obtained by running RELION 3D Auto-refine on your -alignment file. After doing so, navigate to the run.out file from the final iteration; near the bottom -of this file, you will find: Auto-refine: + Final resolution (without masking) is: -. It is important to note that pursuing the highest resolution possible can actually be -counterproductive in determining the conformational continuum by ManifoldEM, as a tradeoff -exists between spatial resolution of a volume (representing an average of some limited number of -states) and differentiation of states (i.e., resolution in state space) in the molecule’s -quasi-continuum. Therefore, preprocessing techniques (such as data cleaning and removal of -low-occupancy class averages) should be as careful as possible to preserve the widest spectrum of -your molecule’s states. Please see Appendix C for more information on preprocessing. - -## 3.8 Object Diameter -This parameter describes the maximum width of your protein structure; and should be taken to -approximate the maximum width of your molecule across all obtained projection directions and -conformations. If unknown, this distance can be approximated using Chimera. In Chimera, open the -3D Auto-refine MRC volume, navigate to the Tools > Volume Data > Volume Tracer window, and place -two data points on the most diametrically opposed voxels in your structure (with controls -determined via the Place Markers setting of that subwindow). Once these two markers are placed, -Ctrl-click the first marker, then Ctrl+Shift-doubleclick the second marker. Finally, choose the Show -Distance popup when it appears. If running with the sample RyR1 data set, you can set this value to -360 Å as recommended in Mashayekhi (2020). - -## 3.9 Aperture Index -This parameter is an integer describing the aperture size in terms of the Shannon angle. If running -with the sample RyR1 data set, set the aperture index to 4. We recommend always starting with an -aperture index of 1. After all other inputs have been entered on the Import tab, the effects of this -value can be determined on the next tab (Distribution). We'll describe how to measure the goodness -of each aperture index in our discussion on Tessellation Thresholds in the next section. If you find -that an aperture index of 1 is unsuitable by the standards described there, you can return to the first -tab and increase its value to 2, repeating this process until an optimal value is obtained. -## 3.10 Shannon Angle -The Shannon angle is used to calculate the orientation bin size. This value will automatically -re-adjust as the other user inputs are altered. It is defined via: -Shannon angle = resolution / object diameter -## 3.11 Angular Aperture Width -This parameter represents the width of the aperture on S2 -(in radians). Like the Shannon angle, this -value will automatically re-adjust as the other user inputs are altered. It is defined via: -angle width = aperture index ⨉ Shannon angle. -Once all inputs have been entered (sans optional entries: Mask Volume and Project Name), click the -View Orientation Distribution button at the bottom of the window to proceed to the Distribution tab. - -## 4 Distribution Tab -The user alignment file contains information on the rotational orientations of each snapshot in the -ensemble. These images are naturally distributed across accessible orientations over an angular -space known as the two-sphere (S2 -). ManifoldEM bins images within local clusters on S2 -defined by -the boundaries of tessellated regions (a mosaic pattern of many virtually identical shapes fitted -together; Lovisolo et al., 2001). The size of the shapes used within this spherical tessellation is -determined by the Angle Width calculated on the first tab. Each tessellated region is given a unique -set of orientational angles defined by the average of the angular location of all images falling within -its boundaries. -The location of each of these centers on S2 -are called Projection Directions (PDs), and represent an -average view of your molecule as seen from a collection of unique viewing angles. This allows the -group of images residing within the boundaries of each PD to be analyzed as sets independently -from all others. In this way, the inner conformational mechanics of the molecular machine are -isolated from the angles in which the molecular machine can be viewed in space. Naturally, as the -Angle Width increases, the total number of PDs will decrease while the number of images contained -in each of those PDs will increase. - - - -Figure 1: Distributions for RyR1 (full −ligand data set) as visualized on the Distribution tab: [A] Distribution -tab; [B] Edit Thresholds; [C] Thresholded PDs; [D] Occupancy Distribution. To note, subwindows [B], [C] and [D] -are accessed via the encircled PD Thresholding button on the main Distribution tab. If you are using the demo -data set, the available PDs will form a great circle in angular space. - -## 4.1 Orientation Navigation -Upon landing on the Distribution tab (Figure 1-A), you will see two figures that allow you to view -your molecule’s S2 -Orientation Distribution (on the left) in tandem with its corresponding -Electrostatic Potential Map (on the right). Both figures are synced such that navigating the Mayavi -camera within either figure will automatically update the view of the other. The S2 -Orientation -Distribution figure plots the occupancy of the projections mapped across S2 -, with corresponding -heatmap defining the relative spatial density of projections. You can change the density of points -shown via the S2 -Density value (e.g., 5 means that only every other 5th -image will be plotted as a -point in these coordinates). Be careful not to select more points to plot than your computer can -handle; by default, ManifoldEM chooses a very conservative value based on the size of your image -stack. The Electrostatic Potential Map is a depiction of the volume file you imported on the previous -tab. You can cycle through its contour depth via the Isosurface Level control. In the event that these -two objects are initially plotted with disproportionate scales, you can also change the relative scale -of these two figures via the S2 -Scale value. In addition, the Mayavi icon can be clicked above each -figure to open a dialog housing expansive visualization options. The most recent settings chosen for -S2 -Scale and Isosurface Level will also be applied to the equivalent figure on the Eigenvectors tab. -As you move the camera in either scene, notice that the current phi and theta value is updated in the -entries below. These are taken as the combination of Euler coordinates from which you are viewing -your objects. A guide for understanding the camera controls can be found in Appendix B of this -manual. To fully understand how your data has been tessellated, we'll need to next explore the PD -Thresholding subwindow, accessed via the corresponding button in the lower left-hand corner of -the Distribution tab. - -## 4.2 Tessellation Thresholds -There are three tabs within the Projection Direction Thresholding subwindow: Edit Thresholds -(Figure 1-B), Thresholded PDs (Figure 1-C), and Occupancy Distribution (Figure 1-D). -On the Edit Thresholds tab, the bar chart shows the number of images captured within the -boundaries of each PD for the given Angle Width, with the PD Number plotted on the x-axis: labelling -each PD based on an arbitrary assignment of integers. This window also has two parameters: Low -Threshold and High Threshold. As these values are changed, the red and green horizontal lines in the -plot will shift their vertical position respectively. If a PD has fewer images than the number specified -by the Low Threshold parameter (red line), that PD will be ignored across all future computations. -The value shown in the Number of PDs display will also be updated to reflect this change. If a PD has -more images than the number (n) specified by the High Threshold parameter, only the first n images -under this threshold will be used for that PD. To finalize new Low and High Thresholds, make sure to -click the Update Thresholds button at the bottom of this tab before exiting the subwindow. If you’re -using the demo RyR1 data set, the default low and high thresholds can be used, resulting in 53 PDs. - -The next tab over on the PD Thresholding subwindow (Thresholded PDs, Figure 1-C) shows the -number of remaining PDs after thresholding. These are plotted with polar coordinates, displaying -phi values on the perimeter-subdivisions and theta values on the radial-subdivisions. The -occupancy of each remaining PD can be seen via the colorbar on the right. The third tab (Occupancy -Distribution, Figure 1-D) displays a histogram showing the distribution of PD occupancies (the -number of images in each PD) across all PDs. The number of histogram bins can be altered via the -entry at the bottom to expand on this characterization. Using these three tools, you should be able -to make an assessment on the overall goodness of the Angle Width calculated on the Import tab (and -thus the variable Aperture Index you supplied). You want to find the optimal Aperture Index such -that the tessellation provides the most coverage across the S2 -(as seen on the Thresholded PDs tab) -while also having a sufficient number of images in each PD (as seen on the Occupancy Distribution -tab). -As this is a very qualitative assessment, we note an additional option for those still unsure. It is -possible to first perform a test-run by increasing the low threshold value such that only a handful -(5-10) PDs are selected, and then decreasing the high threshold to the average value of images seen -across all PDs. Next, proceed through the Embedding tab (as described in the next section) with this -small sample and assess the quality of your conformational motions on the Eigenvectors tab. If the -motions present are too much obscured by noise or if too few motions are present per PD, you’ll -want to consider choosing a larger Aperture Index for your data set. In contrast, choosing an -Aperture Index that is too large may result in prominent CCs exhibiting rigid body rotations of your -macromolecule across the S2 -. Once you have found the optimal Aperture Index for your needs, make -sure to create a fresh project where it is entered, while re-assessing your low and high thresholds to -instead calculate the full set of your best PDs. -If you try to move past tab 2, the GUI will provide you with a warning message. Upon choosing to -proceed, all of these previously established user-parameters will be locked in permanently for the -remainder of your project. - -## 5 Embedding Tab -Within each isolated PD, embedding techniques are applied across the collection of corresponding -images to discover the latent conformational mechanics of the molecular machine (as seen from -that PD). These steps are performed in sequence on the Embedding tab, and are laid out into four -modules: Distance Calculation, Embedding, Spectral Analysis, and Compile 2D Movies. - -## 5.1 Embedding Parameters -Before initiating the first module (via the Distance Calculation button), take note of the three entry -fields at the top of this tab: Processors, Eigenvectors, and Dimensions. - -## 5.1.1 Processors -The Processors entry dictates the number of processors (corresponding to the number of PDs) your -computer will run in parallel during the proceeding steps. The maximum number is determined by -your workstation specs. This value should be set before pressing the Distance Calculation button -below, and cannot be changed again until all processes are complete (or if the project is quit, and -then resumed). As a note, if you ever need to debug an error that occurs, always re-run with -Processors set to 1, which will enter into single-processing mode. In this mode, command line error -messages are unobstructed from multiprocessing packages, providing the best diagnosis for your -problem. If you’re encountering performance problems (slowdowns or crashes), you may want to -consider running fewer processors. - -## 5.1.2 Eigenvectors -The Eigenvectors entry is used to set the number of leading eigenvectors corresponding to the -diffusion maps embedding (discussed below), which are used in NLSA across all PDs. While a total -of 15 eigenvectors are used by default throughout all backend computations, the Eigenvectors entry -determines the number of leading eigenvectors from that set (up to a maximum of 8) for which a -NLSA will be performed. Importantly, only members from this set will be selectable as potential -conformational coordinates on the subsequent tabs, and once this decision is made, it cannot be -reversed. We recommend the maximum (8) if computational resources and time are plentiful. If -performing a test run on a subset of PDs, a much lower number (e.g., 1 to 3) is sufficient. - -## 5.1.3 Dimensions -The Dimensions value defines the number of dimensions to be used in defining the conformational -coordinates (termed Conformational Coordinates or CCs) of the energy landscape. As an important -note, this value has been restricted to 1D for the Beta release. - -With these three parameters filled, it’s time to start computing. The modules on this page can take -considerable time to compute (especially if a large number of Eigenvectors are chosen). If your -progress is interrupted at any time or if you need to exit the program, you can always resume from -where you last left off upon re-opening the GUI. - -## 5.2 Distance Calculation -The first step in the manifold embedding pipeline is the construction of the distances graph -(initiated upon clicking the Distance Calculation button), in which the similarity of each image to the -other images in each PD is calculated. - -## 5.3 Embedding -The next module (initiated via the Embedding button) uses the previous distance calculations to -create nonlinear conformational manifolds via the diffusion maps method (Coifman et al., 2006). -This embedding automatically yields orthogonal coordinates (eigenvectors) ranked according to -eigenvalue, with each coordinate assumed to describe a set of concerted changes. - -## 5.4 Spectral Analysis -To reveal the nature of changes associated with each individual coordinate after the initial -embedding, Nonlinear Laplacian Spectral Analysis (NLSA; Giannakis, 2012) is used. During the -performance of NLSA, the original cryo-EM images are concatenated along one of the leading k -eigenvectors to produce a spatial series of so-called “supervectors” (Dashti et al., 2014). Nonlinear -SVD (via NLSA) is then used to extract characteristic NLSA images (topos) and their evolutions -(chronos) from these supervectors. Each topo/chrono pair constitutes an element of a biorthogonal -decomposition of the conformational changes along the given eigenvector. Noise-reduced snapshots -can be reconstructed from the topo/chrono pairs with significant (above-noise) singular values and -embedded to obtain the manifold characteristic of the conformational changes along the selected -line. This embedding results in a new set of eigenvectors in a different space, to high accuracy -forming a 1-dimensional manifold with known eigenfunctions {cos(kπτ) | k ∈ ℤ+ -} parameterized by -a conformational parameter τ. This process enables the estimation of a density of points as a -function of τ together with an ordered sequence of 2D NLSA images. These 2D images are arranged -to form a 2D NLSA movie, designed to represent the conformational signal corresponding to the -eigenvector chosen from the initially-embedded manifold. In total, NLSA is performed for each of -the leading k eigenvectors independently, such that k 2D NLSA movies are constructed for each PD. -Supervised identification of “meaningful” conformational information (i.e., the CCs) among these k -2D NLSA movies is next required,with subsequent steps aimed at then connecting these CCs across -all PDs. Once the NLSA movies have been computed via the Compile 2D Movies module, you can -navigate to the Eigenvectors tab via the View Eigenvectors button at the bottom of the page. As an -important note, in the event that the Spectral Analysis module stalls (i.e., a relatively prolonged -period of time has elapsed since the previous file was written), counter-measures may need to be -explored. For more information, please see Appendix E for a description of bypassing stalled PDs. - -## 6 Eigenvectors Tab -You will find that the Eigenvectors tab is segmented into 4 main parts (Figure 2), these are: (A) PD -Selection; (B) PD Eigenvectors; (C) Anchor Assignment; (D) Confirm Conformational Coordinates. - - -Figure 2: Outputs of the Embedding tab for RyR1 (full −ligand data set) as visualized on the Eigenvectors tab. -For changing all volume representation settings (including isosurface levels), click the encircled Mayavi icon. -The black boxes in subsection [B] are a result of choosing only four eigenvectors on the previous tab. Also take -note of the two subdividing lines separating these regions (first between [A, B] and second between [AB, CD]), -which can be dragged with the mouse to redistribute window spacing between Eigenvectors tab subsections -as needed. - -## 6.1 PD Selection -In the figure window entitled Electrostatic Potential Map, you will find a series of colored nodes -encircling the input volume. Each node represents a unique PD from the set of all PDs obtained after -thresholding. By default, the page will open on the first PD, such that all of the initial information on -the Eigenvectors tab relates to this PD’s characteristics. The colors of these nodes signify groupings -of Connected Components: clusters of PDs that were deemed in close enough proximity to reliably -pass the information on conformational motion between them during Belief Propagation (discussed -in a later section). For example, if you have two clusters of PDs separated by a relatively large -distance in angular space (likely due to preferred orientations in experiment), two distinct colors -will be used for each cluster. - -As you change the Mayavi camera angle in this subwindow (Figure 2-A), you can move from one PD -to the next. Releasing the mouse while hovering over a new location in the subwindow will -immediately snap the view to the PD closest to your current hover position, updating the entire -Eigenvectors tab in turn to correspond to this new PD’s characteristics. You can also elect to travel -directly to a specific PD via the Projection Direction entry (which reads as: PD Number / Total -Number of PDs seen at the bottom of Figure 2-A). To be specific, whenever a new PD is visited, you -will see the following entries update to correspond to this PD’s attributes: the phi and theta values -below the figure, the Projection Direction number, the number of images in the current PD, all -anchor information, 2D Class Average graph, Eigenvalue Spectrum graph, all images within the View -Topos subsection of the Eigenvectors tab, and all graphs accessed via buttons therein. - -The figure itself will also update when either the Remove PD or Set Anchor checkboxes are selected, -turning the current node to either black or white, respectively. If the box for Remove PD is checked -for a given PD (to be done only if the information in that PD is deemed undesirable), ManifoldEM is -instructed to ignore it in all future computations. Anchor PDs play a much larger role, and will be -discussed in greater detail in the forthcoming sections. - -## 6.2 PD Eigenvectors -When viewing a PD on the Eigenvectors tab, all of its conformational information from the previous -calculations is isolated for detailed analysis. The eight windows in Figure 2-B present the deviation -of the data from the mean (Topo) along the first i eigenvectors ( Ψ1, ... ,Ψi ); with i defined via the -Eigenvectors setting on the Embedding tab . The properties of each of the PD’s eigenvectors (Ψi) can -be explored under the View Topos heading by clicking the corresponding View Ψi button underneath -that specific window. Click the View Ψ1 button (seen in Figure 2-B) to open the analysis subwindow -for the current PD’s most prominent conformational motion. Inside of each View Ψi subwindow, you -will find a number of tabs: Movie Player; 2D Embedding; 3D Embedding; Chronos; Psi Analysis; Tau -Analysis. - -## 6.2.1 Movie Player -The NLSA movie player displays the NLSA frames in sequential order from frame 1 to frame 50. -Each of these frames can be thought of as depicting an individual state, and the collection of frames -describes the conformational motion along a given eigenvector. Along with standard playback -controls, the movie can be scrubbed through via the slider at the bottom of the subwindow. - -## 6.2.2 2D Embedding -The 2D Embedding tab projects the PD’s diffusion map embedding onto a two-dimensional plane. -The first dimension is set by the currently chosen eigenvector, while the second dimension is set by -the eigenvector having the next highest eigenvalue. By clicking anywhere on this plot, a red cross -will appear. Clicking again at a different location will spawn a second red cross which is immediately -connected to the first by a gray line. This tool can be used to draw shapes in the figure, such as to -enclose outlier clusters (with each point in the cluster representing an image). Once more than two -red crosses have been added, you can close your shape by pressing the Connect Path button at the -bottom of the page. Once the shape is closed, you can elect to view an average of all of the images -within that enclosed region via the View Cluster button, or to remove the cluster entirely via the -Remove Cluster button. At any time, you can also reset the shape by pressing the Reset Plot button. -Once a cluster has been removed, you must press the Update Manifold button for changes to take -place. This operation will tell the backend algorithms to recompute the manifold analysis steps -using only those images remaining after your removal. Upon completion of the cluster removal, the -subwindow will close, signifying that all eigenvector plots for the current PD have been updated. At -any time, you can navigate back to the 2D Embedding screen and revert your changes via the Revert -Manifold button. - -## 6.2.3 3D Embedding -The 3D Embedding plot is a visualization tool for viewing the diffusion map embedding in -combinations of three coordinates. You can use the X-axis, Y-axis, and Z-axis entries at the bottom of -the screen to choose which combination of eigenvectors you’d like to use as coordinates. In addition, -you can rotate the plot in this selected 3D subspace to better understand the shape of your data. -This tool is especially useful for identifying candidate outlier clusters for removal. - -## 6.2.4 Chronos -In this window, the chronos coming from Spectral Analysis are plotted. By default, only the first two -modes are retained to extract the NLSA images. In a later version of ManifoldEM, users will be given -the option to re-embed each manifold by selecting a new combination of these modes based on -qualitative assessment. For more information on chronos, see the supplementary material in Dashti -et al. (2014). - -## 6.2.5 Psi Analysis -As mentioned in the Spectral Analysis section, after embedding the noise-reduced snapshots -(reconstructed images), the resulting 1-manifold should have a parabolic structure. If a 1-manifold -is not parabolic, the PD’s corresponding Diffusion Map may be inadequate either due to a lack of -snapshots from experiment, an unfavorable distribution of those snapshots within the -corresponding tessellated region of S2 -, or because of the presence of outliers (appearing as separate -data clouds in the Diffusion Map). In the latter case, see the 2D Embedding section on how to -re-embed the Diffusion Map to possibly recover a parabolic 1-manifold via NLSA. However, if there -are no easily identifiable divergent clusters in the Diffusion Map to remove, you may want to -consider removing the PD completely (see the forthcoming Confirm Conformational Coordinates -section for more information on this process). - -## 6.2.6 Tau Analysis -On the Tau Analysis tab, you’ll find two figures. In the left figure, every NLSA image index in the PD is -plotted in accordance with the NLSA state to which it has been assigned. The figure on the right -provides a histogram of this Tau Parameterization, showing the overall NLSA image occupancy for -each of the NLSA states. This information will eventually be propagated across all PDs for each -user-defined eigenvector. - -## 6.2.7 Eigenvalue Spectrum -Along with the data pertaining to each individual eigenvector, distributions relating to the bulk -properties of all eigenvectors in each PD can also be viewed. Click the Eigenvalue Spectrum button to -view the relative strength of the PD’s eigenvectors (each representing an orthogonal conformational -motion captured within the DM embedding). In this figure, the blue bars signify those eigenvectors -that were calculated for detailed analysis (set via the Eigenvectors entry on the Embedding tab). All -other eigenvectors will be demarcated with gray, and have black images displayed for their -corresponding analysis in the View Topos GUI subsection on the main page (see Figure 2-B). The -larger the eigenvalue (y-axis) is for each eigenvector, the more prominent the conformational -motion along that eigenvector is relative to all others. Next, click the 2D Class Average button to view -an average of all images contained within the current PD. - -## 6.2.8 Gaussian Kernel Bandwidth -Clicking the Kernel Bandwidth button will open a log-log plot of the sum of the elements of the -pairwise similarity matrix as a function of the Gaussian kernel bandwidth (ε). The linear region of -the hyperbolic tangent delineates the range of suitable epsilon values for the diffusion map -embedding. Twice the slope at the inflection point provides an estimate of the effective -dimensionality of the data (Ferguson et al., 2010). Visually, you should see a good fit to the -hyperbolic tangent, while quantitatively, this goodness-of-fit should manifest in a R2 -value close to 1. -We note that while the Gaussian kernel bandwidth is well estimated, the value for the effective -dimensionality is unreliable. However, we include it here for completeness, and have provided more -information on this discrepancy in Appendix E. - -## 6.3 Anchor Assignment -After viewing the eigenvector information (especially the 2D NLSA movies) for several different PDs -spread out across S2 -, you should start to form a good idea of the types of conformational motions -present in your data. The next step is to decide which one of these motions you would like to -compile across all PDs to ultimately produce a corresponding 1D Energy Path for that motion, along -with a NLSA Image Stack and accompanying NLSA Alignment File for use in 3D reconstruction. This -motion should preferably be both biologically relevant and also easily observable within one of the -available eigenvectors across the majority of your PDs. Eigenvectors containing this motion may -also have a relatively high eigenvalue in each PD’s Eigenvalue Spectrum, but, due to the changes in -viewing directions, this is not always the case. - -Once you have made your decision, go to the PD where this motion is the most easily identifiable. In -order to tell ManifoldEM your choice, you’ll need to use the tools within the Set PD Anchors section -at the bottom of the Eigenvectors tab (Figure 2-C). In the Conformational Coordinate 1 (CC1) entry -box, put in the number corresponding to your motion’s eigenvector within the current PD. In the -next entry (S1, for Sense 1), you have the option to choose either Forward (FWD) or Reverse (REV). -The Sense defines the directionality of your motion in each PD; you may have noticed that in some -PDs, your motion is playing in reverse with respect to movies of that same motion in other PDs. For -the first anchor, this choice is arbitrary and completely up to you. However, in each subsequent -anchor you may choose, the Sense of its 2D NLSA movie must be consistently defined relative to all -others. Once you have filled in these options for your first PD anchor, click the Set Anchor checkbox -(Figure 2-C). You’ll notice that the node representing your current PD in the figure above will update -its color to white to signify this change. - -In theory, you can hand-select every PD in this way, being careful to choose the correct eigenvector -number and sense for your conformational motion in each PD until every node on your figure is -colored white. We’ve even included a feature for aiding in such a task (within the Compare Movies -subwindow) where you can directly compare any two NLSA movies side-by-side while altering -these parameters as you see fit. However, in practice, such a workflow requires painstaking -attention to detail and tremendous time, while also being significantly prone to human error -(especially when dealing with hundreds or thousands of PDs). -Instead, we’ve attempted to optimize this procedure through a combination of Optical Flow and -Belief Propagation (discussed in more detail within a later section) that approximately follow the -same human-performed algorithm proposed above (Maji et al., 2020). For this automation strategy -to work, only a handful of PDs are required in total. Importantly, we require a minimum of one -anchor per Connected Component, but the more that can be accurately defined, the better. To be -clear, you must make sure that the eigenvectors chosen as anchors are those of highest user -certainty, since placing an erroneous anchor into these algorithms will most likely produce chaotic -results. - -If using the demo RyR1 dataset, however, it could be a helpful exercise to pick the 53 PDs present -therein by hand. Since there are only a few dozen PDs to consider, this exercise should take about 20 -minutes, while also reinforcing an understanding of essential concepts for new users seeking -training. There are also a few PDs that should be removed. The following provides the decision -process needed to assign one such anchor when using the RyR1 data set: -“Starting at a highly informative PD for the first anchor (where all motions are present and easily -identifiable across all eigenvectors), which of its eigenvectors (1-8) represents the readily-identifiable -‘wing’ motion of RyR1; and is this motion playing (arbitrarily) FWD or REV within that eigenvector (as -seen in the 2D NLSA movie)? Next, is there another (preferably distant) PD where this same motion can -also be easily identified across its set of eigenvectors, and is its NLSA movie playing FWD or REV with -respect to the arbitrary Sense-assignment of the first anchor chosen?” - -Our general workflow for assigning these anchors is to first check on the PDs with the highest -occupancy via the PD Occupancies button within the PD Selections subsection on the Eigenvectors -tab (Figure 2-D). For the RyR1 demo, search for the first PD in the ranked PD Occupancies list that -offers a good side view of RyR1, and determine if there is a 2D NLSA movie showing the wings -moving up/down with an accompanying “smooth” parabola in Psi Analysis. If there is more than one -option showing this motion, pick the leading eigenvector. Next, arbitrarily define the directionality -of motion (sense) as FWD; reserving REV for 2D NLSA movies playing in the opposite direction. -After setting this anchor information in the Set PD Anchors panel on the main Eigenvectors tab, it is -ideal to next increase S2 -coverage by sporadically labelling a collection of spread out PDs with -anchor information. However, this should only be done for PDs where user confidence of -eigenvector/sense for the given CC is highest. If using the RyR1 demo data set with the suggested -parameters, you will see that the PD nodes are grouped into two clusters (Connected Components) -on S2 -, with the nodes from each cluster visualized by red or blue coloring, respectively. When -numerous connected components exist, at least one PD anchor must be defined in each cluster so -that Belief Propagation can connect the conformational information across large empty regions on -S2 -. For the demo data set, we recommend defining three spatially-separated PD anchors in each -connected component corresponding to the RyR1 wing-like motion. As a final note, during this -assessment, it is highly recommended that users remove PD nodes that provide no meaningful -conformational information. For the demo RyR1 data set, we identified and marked 7 PDs for -removal using the GUI interface. - -## 6.4 Confirm Conformational Coordinates -Once a sufficient number of PD anchors have been chosen, a list of all user PD selections can be -accessed via the PD Selections button within the Confirm Conformational Coordinates subsection at -the bottom of the Eigenvector tab (Figure 2-D) . In this subwindow, there are two tabs: PD Editor and -PD Viewer. -The PD Editor tab allows you to view tables of all of your assignments for PD anchors and removals, -as well as reset your current selections of each class independently. Moreover, this tab provides a -way to save the currently selected PD Anchors and PD Removals as individual lists and load them -back in whenever needed. It is important to note that these selections are automatically saved upon -reaching the Compilation tab, but if you need to exit the program for any reason before all intended -anchors have been chosen (and thus before pressing Compile Results), it is essential that you save -your selections via these options. Finally, you can also view a sorted list of all PD occupancies as -well as a list of PDs which have undergone manifold re-embedding (as described in the 2D -Embedding section above). - -## The PD Editor tab provides a polar-coordinate plot of all PDs according to their current user-defined -class. PD anchors are shown as gray diamonds and PD removals as black ⨉ marks. All other PDs that -are to-be-determined (TBD) by automation are displayed as colored dots corresponding to their -Connected Component grouping. Once you are satisfied with your choice of PD anchors, removals -and re-embeddings, click the Compile Results button at the bottom of the Eigenvectors tab to -proceed. - -## 7 Compilation Tab -You’ll arrive next on the Compilation tab, where the conformational information from each -individual PD is stitched together into one global identity. Much like the Embedding tab, you’ll find a -row of user-defined parameters at the top of the window (Processors, Temperature and Export -Optical Flow) as well as a set of modules (Find Conformational Coordinates and Energy Landscape) -for initiating the corresponding backend algorithms and gauging their progress. - -## 7.1 Compilation Parameters -## 7.1.1 Processors -The Processors entry dictates the number of processors your computer will run in parallel during -the proceeding steps. It will mirror the number set on the Embedding tab, but can be altered here as -needed before proceeding with the final outputs. - -## 7.1.2 Temperature -The value set in the Temperature entry should correspond to the pre-quenching temperature of the -experiment immediately prior to rapid freezing. Specifically, it will be used in the Boltzmann -relationship to convert image occupancies into energies. - -## 7.1.3 Export Optical Flow -This parameter is completely optional, and if turned on, will export additional images of optical flow -vectors to file during computation of the chosen conformational coordinate (Figure 3). As an -important note, turning this option on will significantly increase computation time, and should only -be used for investigating the underlying behavior of these outputs. - - -Figure 3: Example output file of flow vectors from a single PD when Export Optical Flow is enabled. Image -motion is expressed by the direction of the vectors, while the magnitude of the motions are expressed by the -relative color of each vector (with red denoting the maximum magnitude of motion in the NLSA movie). The -circular background region surrounding RyR1 was removed from computation via use of a spherical Mask -Volume. - -## 7.2 Find Conformational Coordinates -Once you have filled in the appropriate values for the parameters at the top of the Compilation tab, -click the Find Conformational Coordinates button to initiate Optical Flow and Belief Propagation -across your entire data set. These two procedures aim to select the correct eigenvector/sense -combination for the user-defined conformational motion across all PDs. To achieve this, Optical -Flow is first used to define the most prominent visual motions in the 2D NLSA movies in terms of -feature vectors (based on a histogram of oriented gradients), which are calculated for every -eigenvector/sense combination across all PDs. Next, the set of all feature vectors in each PD is -compared to the set of all feature vectors in its immediate neighbors on the S2 -. -Belief Propagation assesses the affinity between all pairwise-combinations of feature vectors -between all neighboring PDs, ultimately giving each comparison a likelihood score for how well it -conserves the intended conformational motion (defined by the PD anchors). These probabilities are -propagated across the network of PDs until uncertainty is minimized on the global scale. After this -process has been completed, you can check these eigenvector/sense assignments within the output -file located at: outputs_/CC/comp_psi_sense_nodes.txt, and compare the -fidelity of each PD’s assignment with the motions you see in the respective movie on the -Eigenvectors tab. - -The ManifoldEM Python suite also includes a feature to automatically find erroneous PDs by -analysis of τ statistics. In certain situations, we have found that certain 2D NLSA outputs do not -converge depending on the images contained in a particular PD, and therefore generate 2D NLSA -movies that are “bad” (i.e., very noisy, jittery or almost completely static). This is also reflected as a -relatively discrete, narrow τ-value distribution for such movies. Our automation strategy uses the -interquartile range (IQR) to characterize the dispersion of the τ histograms for all movies across all -PDs. From the distribution of all IQR values, we automatically determine the cutoff IQR value which -separates relatively well spread-out histograms from the narrow ones. When all of the movies for a -given PD are below that IQR cutoff value, we automatically remove the PD from interfering with -belief propagation and obstructing final outputs. - -## 7.3 Energy Landscape -Within the Energy Landscape module, for each PD’s chosen eigenvector, its corresponding τ -parameterization is subdivided into 50 uniformly spaced bins (each representing a unique NLSA -state), with the number of snapshots falling within each bin tallied towards its state’s occupancy (as -is visualized in the right-hand side figure under Tau Analysis). -In thermal equilibrium, we attribute differences in occupancy to differences in the molecules’ free -energy via the Boltzmann factor ΔG/kB T = -ln(ns /n0), where ns is the number of snapshots in the -current state and n0 is the occupancy of the maximum-occupancy state in the state space (Fischer et -al., 2010; Agirrezabala et al., 2012). The lowest observable occupancy in the ensemble represented -by the dataset, of one particle in a state, defines the highest measured free energy while the highest -observable occupancy defines the lowest measured free energy. The Boltzmann constant kB is a -physical constant that relates the average relative free energy of particles to their bulk temperature. -(Please see the Compilation Parameters section for information on the temperature, T). The free -energy of a state in this landscape is a thermodynamic quantity equivalent to the capacity of a -system to do work. Finally, this occupancy/energy information is integrated across the chosen -eigenvectors of all PDs, with the ordering of states within each defined via its Sense. -When only one degree of freedom is desired (or available), the NLSA occupancies and images -corresponding to the same CC content in different PD manifolds can be further compiled across S2 -to -construct a 1D energy path and a set of corresponding reconstructed volumes. Although not -available in this Beta release, the NLSA procedure is more complicated when two degrees of -freedom are desired. For completeness, we note that after identification of two CCs, their respective -eigenvectors for the current PD manifold are used to isolate a 2D subspace therein. On this {CC1, -CC2} subspace, NLSA is performed independently along the directions of 180 uniformly-spaced -radial lines in the range θ ∈ [0, π]. This yields a collection of point densities (i.e., 1D occupancy -maps) n(τ,θ) for each θ. The collection of these 1D maps for all θ constitutes the 2D Radon transform -of a yet unknown 2D density map (i.e., the desired 2D occupancy map). An inverse Radon transform -is then applied to reconstruct the 2D density map. In addition, NLSA also retrieves the -noise-reduced images at each point in this map. As in the 1D case, this procedure must next be -performed for the eigenvector pairs corresponding to {CC1, CC2} in all other PD embeddings, from -which noise-reduced volumes can be reconstructed to form 3D movies of concerted conformational -motions. - -## 7.4 Recompile Results -At any time after running Find Conformational Coordinates or Energy Landscape on the Compilation -tab, you are given the option to recompile this information. This can be done via the Recompile -Results button on the Eigenvectors tab (which was previously labelled Compile Results on the first -run). Subsequent results will only change if you wish to change your previously assigned PD -Anchors, PD Removals, Dimensions value (currently disabled in the Beta), or the Temperature value. - -## 8 Energetics Tab -## 8.1 Energetics -The Energetics tab provides a visualization of the resulting energy landscape (i.e., 1D Energy Path, -for the Beta release) as integrated across all PDs, with the dimensionality d defined via the number -of chosen conformational coordinates (d=1 in this Beta release). Using the View Distribution button, -you can switch views between the 1D Occupancy Map and 1D Energy Path, showing the difference -between the initial occupancies across all PDs and the resulting transformation via the Boltzmann -factor. - -In the 1D Energy Path representation, energetic wells represent the most energetically favorable -conformations along your chosen conformational coordinate. Likewise, energetic peaks represent -thermodynamically improbable states which constrain transitions between neighboring wells. -Given this context, if your energetics look biologically unnatural (completely flat as one example), -you may want to recheck your anchor assignments on the Eigenvectors tab, with the possibility of -redoing these calculations via the previously discussed Recompile Results button. -Before computing your 3D trajectory files along this conformational coordinate, you can change -how the states will be combined along the given trajectory via the Path Width option. The default -value (1) will result in 50 output image stacks, where each stack combines information only from -projections belonging to the state it corresponds to (one stack per state). As this value is increased, -a sliding window is introduced along the trajectory such that additional information from -neighboring states is included when building each of the 50 image stacks. For example, choosing 3 -for the Path Width will tell each image stack {1, … , 50} to include its own images along with those -from its immediate neighbors; i.e., three microstates in total for each macrostate. - -While not available in the Beta release, we provide here a glimpse of the 2D functionality of the -Python ManifoldEM GUI, which is a work in progress. As is planned, depending on the previous -choice of dimensionality, plots on the Energetics tab will be either 1D or 2D. In the case of 2D, the -user will be presented with a subsequent choice to define a path through the 2D energy landscape -(Figure 4). Using this interface, points can be added onto this 2D plot to form a custom path, with -corresponding integrated energy recorded. Alternatively, the user can elect to export this energy -landscape for analysis with external pathfinding programs – such as POLARIS (Seitz and Frank, -2020) – to potentially define a minimum-energy path of presumed biological significance. These -trajectories can then be imported into the ManifoldEM GUI for use in its final computations. After a -suitable path has been defined (if applicable), ManifoldEM will combine the NLSA movies from all -states and PDs along that path into corresponding image stacks and alignment files. Post-processing -modules, which are located external to the GUI in the ManifoldEM main folder hierarchy, can then be -run to use the projections in these image stacks to reconstruct NLSA volumes. The final result of this -framework is a sequence of successive 3D reconstructions along the chosen path, forming a 3D -movie. In the case of the 1D Energy Path, this sequence demonstrates the conformational changes -along a single CC. - - -Figure 4: 2D Energy Landscape tab showing outputs from the Ribosomal data set (Dashti et al., 2014), as -viewed in Mac OS. A set of user-defined coordinates have been handpicked to form a path through the -low-energy valley. This path can be used to generate the set of assets required to produce a final sequence of -NLSA volumes. Alternatively, the path of least action can be imported (as generated via external programs; -e.g., POLARIS) and similarly used. - -## 8.2 3D Trajectories -Once you have selected a suitable path width, press the Compute 3D Trajectories button. During this -process, the images from all states across all PDs are combined into 50 image stacks and alignment -files, such that there is one image stack and corresponding alignment file for each state along your -trajectory. Each image stack {1, … , 50} contains all of the particles across S2 -that fall within its -corresponding bin (state), with the angular information and microscopy parameters of each image -written into that stack’s alignment file. - -## 9 Post-processing -After viewing the energy landscape (or energy path, for 1D) and computing 3D trajectories, a -collection of image stacks (.mrcs) and corresponding alignment files (.star) will be exported into -your outputs_/bin directory. Each pairing in this collection coincides with one of -the 50 conformational states for your chosen motion, with each state containing information from -every PD across S2. - -## 9.1 Volume Reconstruction -With these files generated, an external algorithm (RELION) can next be used to reconstruct 50 -volumes from this collection, representing a 3D movie displaying the chosen conformational -motion. First, if you haven’t yet installed RELION, do so now via the instructions in Appendix A. -Once installed, navigate to the outputs_/post/1_vol directory in the CLI, and -run the batch-reconstruction script there via: sh mrcs2mrc.sh. - -## 9.2 Noise Reduction -After your 50 volume files have been produced via RELION’s reconstruction algorithm (as described -in the previous section), you can elect to clean them via our external (to the GUI) post-processing -scripts. - -The first choice is via Singular Value Decomposition (SVD). The corresponding scripts are designed -to decompose your volume sequence into a series of modes, and eliminate noise by removing modes -below a singular value threshold. These two SVD scripts can be found in the -outputs_/post/2_svd directory and include mrc2svd.sh and mrc2svd.py. You -can run both scripts at once by navigating to the above folder in the CLI (making sure the -ManifoldEM Anaconda environment is also activated) and inputting the command: sh mrc2svd.sh. -(To note, for volume files with large box sizes, these computations may take considerable time; e.g., -hours). By default, the first and second eigenvector will be chosen as significant, and retained. -During this initial run, a figure entitled mrc2svd.png will be saved, showing the eigenvalue -spectrum for your data. After examining this plot, you can choose to rerun this procedure while -retaining a different set of user-defined eigenvectors by first changing the Topo_list variable -located at the top of mrc2svd.py, followed by again inputting the command sh mrc2svd.sh. -The second choice for noise reduction is via the mrc2denoise.py script, where either a Gaussian or -median filter can be applied to each volume. As well, the window size of the filter and range of states -on which the filter is applied can also be altered using the overhead parameters. - -## 10 Citing Us and Asking Questions -If ManifoldEM is useful in your work, please cite Dashti et al. (2014) and this ManifoldEM Python -repository. If you have any questions about ManifoldEM after reading this entire document, carefully check the -ManifoldEM GitHub forum for similar inquiries or, if no similar posts exist, create a new thread -detailing your inquiry. As well, if you find any errors while reading this document, please let us -know. +# Preprocessing your cryo-EM data + + Before running FI-ManifoldEM, you will need to have run 3D refinement on your dataset using your cryo-EM analysis software of choice. + ManifoldEM requires (at minimum) the following parameters within the alignment `.star` file: Image Name; Angle Rot; Angle Tilt; Angle Psi; Origin X; Origin Y; Defocus U; Defocus V; Voltage and Spherical Aberration. To note, ManifoldEM is not currently set up to calculate elliptical defocus; instead, it treats all cases of defocus as spherical. As well, although the software is set up to handle image recentering, if your original micrographs are available, we recommend recentering before ManifoldEM (and thus also setting Origin X and Origin Y values in the alignment file to zero) as to avoid introduction of padding artifacts that could lower the fidelity of the distance matrix. Additionally, the `.mrcs` image stack, will need to be a single file. If you have multiple image stacks, we recommend combining them into a single stack with e.g. `relion_stack_create`. Notably, the average volume file will only be used to help navigate through projection directions (PDs) in the GUI, and is not actually used within the algorithm. + +### Important tips for choosing the Aperture Index + + Shannon Angle and Angle Width are calculated from your inputs, and will automatically re-adjust as the user inputs are altered. + + The **Shannon Angle** is used to calculate the orientation bin size, and is defined as + Shannon Angle = $\frac{\text{Resolution}}{\text{Object Diameter}}$. + + The **Angle Width** is the the width of the aperture on S2 (in radians), and is defined as + Angle Width = Aperture Index $\times$ Shannon Angle. + + Thus, the combination of Resolution, Object Diameter, and Aperture Index all help define the width of the bins on the orientation sphere that will be used to define how many images are in a given PD. Getting this right can take some trial and error for each dataset -- usually by adjusting the Aperture Index between 1 and 4. + +# CLI-only RyR Tutorial + +The dataset for this tutorial can be downloaded here: +[RyR1GCs_demo.tar.gz](https://users.flatironinstitute.org/~rblackwell/manifold/RyR1GCs_demo.tar.gz). + + +This is a pretty small dataset that you can run on a laptop or desktop, for which you can check how many processes to use with `nproc`. To initialize, the main inputs are `-p` project name, `-a` alignment file, `-i` image file, `-s` pixel size, `-d` object diameter, `-r` estimated resolution, and `-x` aperture index. + +``` +manifold-cli init -p 20260101_RyR_tutorial -a RyR1GCs_clustRem.star -i RyR1GCs_clustRem.mrcs -s 1.255 -d 360 -r 5.0 -x 4 +manifold-cli -n 16 calc-distance params_20260101_RyR_tutorial.toml +manifold-cli -n 16 manifold-analysis params_20260101_RyR_tutorial.toml +manifold-cli -n 16 psi-analysis params_20260101_RyR_tutorial.toml +manifold-cli -n 16 nlsa-movie params_20260101_RyR_tutorial.toml +``` + +To move forward through the pipeline, it is good to check at least the NLSA movie for your most populated projection direction: +```python + from ManifoldEM.data_store import data_store + from ManifoldEM.params import params + params.load('params_20260101_RyR_tutorial.toml') + prds = data_store.get_prds() + top_PD = np.argmax(prds.occupancy) + print(f"The PD with the most images is {top_PD} with {prds.occupancy[top_PD]} images.") +``` + +Which tells you "The PD with the most images is 52 with 565 images." Since Python is 0 index, we now migrate to `output/20260101_RyR_tutorial/topos` and open `PrD_53/psi_1.gif`. + +![](https://raw.githubusercontent.com/flatironinstitute/ManifoldEM/docs-updates/tutorial/images/psi_1.gif) + +In order to assign an anchor node to each cluster, we first need to figure out which PDs belong to which cluster. Using the same setup as above, continue on with: +``` +> prds.cluster_ids +array([0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, + 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, + 1, 0, 1, 0, 1, 0, 1, 0, 1]) + +> cluster1 = np.where(prds.cluster_ids==0)[0] +> cluster1 +array([ 0, 3, 4, 7, 8, 11, 13, 15, 17, 19, 20, 22, 25, 26, 28, 30, 33, + 35, 37, 39, 41, 43, 45, 47, 49, 51]) + +> cluster2 = np.where(prds.cluster_ids==1)[0] +> cluster2 +array([ 1, 2, 5, 6, 9, 10, 12, 14, 16, 18, 21, 23, 24, 27, 29, 31, 32, + 34, 36, 38, 40, 42, 44, 46, 48, 50, 52]) +``` + +Here we can see that our PDs are roughly equally distributed between two clusters, and we can see that PD 52 is in cluster2, so we can use that as an anchor node. Now let's pick an anchor node to use from cluster1. + +Note that while there are many things to consider when picking anchor nodes besides the visual quality of the movies (the quality of the manifold, etc.), it is a good first approximation. Certainly, for the optical-flow based belief propagation, we need to look at the movies to decide if they are moving in the same sense or not, anyway. + +``` +> top_PD_cluster1 = np.argmax(prds.occupancy[cluster1]) +> print(f"In cluster1, the PD with the most images is {cluster1[top_PD_cluster1]} with {prds.occupancy[cluster1[top_PD_cluster1]]} images.") +``` + +Which will give you "In cluster1, the PD with the most images is 45 with 450 images." - So now we can look at `PrD_46/psi_1.gif`. If you look at this gif you can see the 'arms' are moving down, while in the first movie they are moving up, so we will this define them as anchor nodes with opposite senses as follows: + +``` +from ManifoldEM.data_store import Anchor, Sense +prds.insert_anchor(52, Anchor(sense=Sense.FWD)) +prds.insert_anchor(45, Anchor(sense=Sense.REV)) +prds.save() +``` + +Once these anchor nodes are defined, you can move forward with the belief propagation step and building the probability landscape: +``` +> manifold-cli -n 16 find-ccs params_20260101_RyR_tutorial.toml +> manifold-cli -n 16 probability-landscape params_20260101_RyR_tutorial.toml +> manifold-cli -n 16 trajectory params_20260101_RyR_tutorial.toml +``` + +Finally you can build volumes along this conformational coordinate. Note this requires `relion`, and we recommend the second denoising step: +``` +> manifold-cli -n 16 utility mrcs2mrc params_20260101_RyR_tutorial.toml +> manifold-cli utility denoise params_20260101_RyR_tutorial.toml +``` + +Congrats! You have finished running FI-ManifoldEM on this dataset! You can use the Python API to further inspect your results following on [this notebook](https://github.com/flatironinstitute/ManifoldEM/blob/docs-updates/tutorial/RyR1GCs_demo/Visualization_Notebook.ipynb). + +# Thyroglobulin Tutorial + +We will now walk through the analysis of a realistic-sized cryo-EM dataset (674,840 particles) with the FI-ManifoldEM pipeline. Note that though this is a synthetic dataset, the SNR has been decided to be similar to real data, and the pose distribution has been taken from a real dataset. + +## Project Initialization + +The input files (541 GB) for this are available from [this Globus link](https://app.globus.org/file-manager?origin_id=02d50b74-e14d-40b7-a555-8addf1ada896&origin_path=%2F). The mask is providedly separately for this tutorial. In short, the inputs required are: + + - Average Volume: `thyroglobulin_volume_big_stack_448x448x448.mrc` + - Alignment File: `cryoem_heterogeneity_challenge_2023_20x_particles_second_dataset_448x448_full.star` + - Image Stack: `cryoem_heterogeneity_challenge_2023_20x_particles_second_dataset_448x448_full.mrcs` + - Mask Volume: `thyroglobulin_mask_tutorial.mrc` + - Pixel Size: 1.073 Angstrom + - Resolution: 4.0 Angstrom + - Object Diameter: 350 Angstrom + - Aperture Index: 4 + + Note that there is an option to 'Load an existing project' rather than start a new project using an existing `params_my_project.toml` file. The equivalent to this in the CLI is `manifold-cli -R params_my_project.toml`. + +### GUI +To open the GUI make sure you have activated your environment and type: +``` +manifold-gui +``` + +In the GUI the imports tab will look like this, though with your own full paths in the relevant places: + +Click `View Orientation Distribution` to move onto the next step. + +### CLI +To initialize this same project in the CLI: +``` +manifold-cli init -p 20260101_thyroglobulin_tutorial -a cryoem_heterogeneity_challenge_2023_20x_particles_second_dataset_448x448_full.star -i cryoem_heterogeneity_challenge_2023_20x_particles_second_dataset_448x448_full.mrcs -s 1.073 -d 350 -r 4.0 -x 4 +``` + +## [Optional] Setting Thresholds + +In the case of this thyroglobulin tutorial, we will need to adjust thresholds, however the default minimum number of images for a given PD is 100 and the default maximum number is 2000. If you find these thresholds acceptable, you can move onto the next step directly for your dataset. + +### GUI +In the GUI to adjust the Thresholds by clicking the `PD Thresholding` button, adjusting the `Low Threshold` -- here adjust it to 250 for the tutorial, and cement this change by clicking `Update Thresholds`: + +Click `Bin Particles` to move onto the next step. + +### CLI +To set these same thresholds with the CLI: +``` +manifold-cli threshold --prd_thres_low 250 params_20260101_thyroglobulin_tutorial.toml +``` + +## Running per-PD ManifoldEM + +While this is the core of the method, it is actually the simplest part for the user to interact with. One aspect of these steps however, is that they are quite computational expensive, so we recommend running them on a cluster if possible for large datasets, such as the one we are using for this thyroglobulin tutorial. For the GUI, if your are using a Slurm for cluster management, for example you can allocate resources using `salloc` and the enter the approrpiate Hostname in the GUI with the appropriate number of processors for that node. For the CLI, you can run in an interactive job or by submitting directly to your cluster, however you prefer, and assign the correct number of processors using the `-n` flag. Note that FI-ManifoldEM is not currently GPU-compatible, so be sure to allocate only CPU nodes. + +Broadly, the four steps here are: +- The **Distance Calculation** constructs the distances graph, in which the similarity of each image to the other images in each PD is calculated. +- The **Embedding** step uses the previous distance calculations to create nonlinear conformational manifolds via diffusion maps. This embedding automatically yields orthogonal coordinates (eigenvectors) ranked according to eigenvalue, with each coordinate assumed to describe a set of concerted changes. +- In **Spectral Analysis** the initial embeddings are mapped back into a more discernable coordinate space using Nonlinear Laplacian Spectral Analysis (NLSA). The characteristic NLSA images (topos) and their evolutions (chronos) from these supervectors are then extracted, and each topo/chrono pair constitutes an element of a biorthogonal decomposition of the conformational changes along the given eigenvector. Noise-reduced snapshots can be reconstructed from the topo/chrono pairs with significant (above-noise) singular values and +embedded to obtain the manifold characteristic of the conformational changes along the selected line. This embedding results in a new set of eigenvectors in a different space, to high accuracy forming a 1-dimensional manifold with known eigenfunctions {cos(kπτ) | k ∈ ℤ+ +} parameterized by a conformational parameter τ. +- From this process 2D **NLSA Movies** can be generated, designed to represent the conformational signal corresponding to the eigenvector chosen from the initially-embedded manifold. In total, NLSA is performed for each of the leading k eigenvectors independently, such that k 2D NLSA movies are constructed for each PD. + +### GUI + +In the GUI, once the hostname and processors have been adjusted, you just click on all four buttons: 'Distance Calculation', 'Embedding', 'Spectral Analysis', and 'NLSA Movie'. These will run in sequence, you do not have to wait until one job is done before you start the next one. Note that the progress bar in the command line window may be a better guide of progress than the one in the GUI. + +Once all jobs are complete, you can move on to `View Eigenvectors` where you can view the NLSA movies. + +### CLI +``` +manifold-cli -n 96 calc-distance params_20260101_thyroglobulin_tutorial.toml +manifold-cli -n 96 manifold-analysis params_20260101_thyroglobulin_tutorial.toml +manifold-cli -n 96 psi-analysis params_20260101_thyroglobulin_tutorial.toml +manifold-cli -n 96 nlsa-movie params_20260101_thyroglobulin_tutorial.toml +``` + +## Inspecting Eigenvectors and Aligning Conformational Coordinates +In this section you can inspect your NLSA movies and pick anchor nodes for belief propagation. + +### GUI +There are many things to explore here, but generally the best place to start is to first find your most populated PD by clicking on the 'PD Selections' button followed by the 'List Occupancies' button to see the PD with the highest occupancy. Here we see for this thyroglobulin dataset with these particular parameters the PD at index 1059 has the most particles with 994 particles. + +Then you can close these windows and navigate to this PD by typing in its index in the 'Projection Direction' navigator. Then you can click on 'View Ψ1' to see the NLSA movie for the first psi of this PD and determine whether or not you think it is appropriate to assign as an anchor node. + +Here we only need to pick a single anchor node, but in most real cases you will need to pick more than one, and you should ensure that the different anchor nodes move in the same direction, as an example: from open to closed, and not vice versa. If you need to change the direction of an anchor node, just change it from forward to backward in the 'Set PD Anchors' section. This directionality choice you make will then be propagated to all the PDs via the optical flow step that comes next. Also note that you can define any psi from a PD as the anchor node, not just the first one. + +Once the anchor nodes have been selected you can move on by clicking 'Compile Results'. + +### CLI +Anchor node selection is somewhat more intuitive to conduct within the GUI, but in the CLI-only tutorial above, we have outlined the steps for this, and refer the user to that section. + +## Compile Results and Calculate Probability Distribution + +In this next tab the Anchor nodes you selected are used to run optical flow and define senses on all other PDs with the 'Find Conformational Coordinates' button. + + + +Finally you can click the 'Probabiity Landscape' button to achieve a 1D estimate of your distribution in the ManifoldEM space. + + + +Once here you can compute the 'Compute 3D Trajectories' and then proceed to the Volume Reconstruction step. + + +### CLI + +``` +> manifold-cli -n 16 find-ccs params_20260101_RyR_tutorial.toml +> manifold-cli -n 16 probability-landscape params_20260101_RyR_tutorial.toml +> manifold-cli -n 16 trajectory params_20260101_RyR_tutorial.toml +``` + +## Volume Reconstruction + +Volume reconstruction is a CLI-only process, so is identical to the CLI-only tutorial above. + +Finally you can build volumes along this conformational coordinate. Note this requires `relion`, and we recommend the second denoising step: +``` +> manifold-cli -n 16 utility mrcs2mrc params_20260101_RyR_tutorial.toml +> manifold-cli utility denoise params_20260101_RyR_tutorial.toml +``` + +Congrats! You have finished running FI-ManifoldEM on this dataset! You can use the Python API to further inspect your results following on [this notebook](https://github.com/flatironinstitute/ManifoldEM/blob/docs-updates/tutorial/RyR1GCs_demo/Visualization_Notebook.ipynb). + + diff --git a/tutorial/RyR1GCs_demo/Visualization_Notebook.ipynb b/tutorial/RyR1GCs_demo/Visualization_Notebook.ipynb new file mode 100644 index 0000000..822e933 --- /dev/null +++ b/tutorial/RyR1GCs_demo/Visualization_Notebook.ipynb @@ -0,0 +1,343 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "4fe87c8a", + "metadata": {}, + "outputs": [], + "source": [ + "%pip install plotly ipywidgets anywidget kaleido h5py pillow" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "84d21293", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Auto-detected TOML: params_20260101_RyR_tutorial.toml\n", + "Using TOML file: /Users/rdsouza/Dev/Manifold_From_GA2/ManifoldEM/tutorial/RyR1GCs_demo/params_20260101_RyR_tutorial.toml\n", + "project_name: 20260101_RyR_tutorial\n", + "Loading: /Users/rdsouza/Dev/Manifold_From_GA2/ManifoldEM/tutorial/RyR1GCs_demo/output/20260101_RyR_tutorial/pd_data.pkl\n", + "\n", + "Loaded keys: ['thres_low', 'thres_high', 'bin_centers', 'defocus', 'microscope_origin', 'pos_raw']…\n", + " bin_centers : (3, 2005)\n", + " occupancy_full : (2005,)\n", + " pos_thresholded : (3, 53)\n", + " thres_low / high : 100 / 2000\n" + ] + } + ], + "source": [ + "# ─────────────────────────────────────────────────────────────────────────────\n", + "# Setup — load tutorial data and pick a render mode.\n", + "#\n", + "# INTERACTIVE = False → static plots (Plotly-PNG + matplotlib) that render\n", + "# on GitHub. Good for sharing this notebook online.\n", + "# INTERACTIVE = True → live ipywidgets viewers — clickable S2 sphere, PrD\n", + "# slider, ψ slider, etc. Use when running locally on\n", + "# your own data.\n", + "# ─────────────────────────────────────────────────────────────────────────────\n", + "from visualization import load_session\n", + "\n", + "INTERACTIVE = False\n", + "\n", + "viz = load_session()" + ] + }, + { + "cell_type": "markdown", + "id": "ae3097ef", + "metadata": {}, + "source": [ + "### Plot the S2 tesselation results" + ] + }, + { + "cell_type": "markdown", + "id": "c9ee6566", + "metadata": {}, + "source": [ + "### S2 orientation distribution\n", + "\n", + "Points are the **tessellation bin centres** on the unit sphere S2. \n", + "Colour = particle occupancy per bin (number of cryo-EM images whose orientation maps to that bin). \n", + "**Thresholded PDs** (active projection directions after low/high occupancy cuts) are overlaid as larger red markers.\n", + "\n", + "> With `INTERACTIVE=True` the sphere is a clickable Plotly figure (click a red diamond to view its 2D class average and sync the PrD slider below). With `INTERACTIVE=False` you get a static PNG snapshot suitable for GitHub." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "218682ac", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Active PDs: 53 | Total bins: 2005 | Total particles: 14491 [static view — set INTERACTIVE=True for clickable diamonds]\n" + ] + } + ], + "source": [ + "viz.show_s2_sphere(interactive=INTERACTIVE)" + ] + }, + { + "cell_type": "markdown", + "id": "a3153983", + "metadata": {}, + "source": [ + "### Per-PrD eigenvector viewer\n", + "\n", + "**Tab 1** shows the eigenvalue scree plot. **Tab 2** shows the eigenvector movies (`psi_1` … `psi_8`).\n", + "\n", + "> With `INTERACTIVE=True`, select a PrD with the slider (or click a diamond on the sphere above). With `INTERACTIVE=False`, the viewer renders PrD 1 (override with `viz.show_prd_viewer(default_prd=N, interactive=INTERACTIVE)`) and the movies are shown as first-frame thumbnails." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "f1317ed0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "viz.show_prd_viewer(interactive=INTERACTIVE)" + ] + }, + { + "cell_type": "markdown", + "id": "192cf6bb", + "metadata": {}, + "source": [ + "### Diffusion map analysis (per PrD)\n", + "\n", + "**Row 1 — Left:** pairwise image distance matrix `D`, rows/columns reordered by `posPath` (the diffusion-derived conformational ordering). A well-behaved manifold shows a band-diagonal structure. \n", + "**Row 1 — Right:** Ferguson plot — `ln Σ Wᵢⱼ` vs `ln ε` scatter with tanh fit. The inflection gives the optimal kernel width σ; the slope at the inflection estimates the intrinsic dimensionality. \n", + "**Row 2:** ψ₁ vs ψ₂ diffusion map embedding coloured three ways: conformational order (`posPath`), Riemannian density (`μ`), and in-plane rotation angle.\n", + "\n", + "> With `INTERACTIVE=True`, this panel is driven by the PrD slider above. With `INTERACTIVE=False` it renders PrD 1 (override via `viz.show_diffusion_map(default_prd=N, interactive=INTERACTIVE)`)." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "02fa857c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[static view — showing PrD 1. Set INTERACTIVE=True to drive this with the PrD slider.]\n" + ] + } + ], + "source": [ + "viz.show_diffusion_map(interactive=INTERACTIVE)" + ] + }, + { + "cell_type": "markdown", + "id": "b9155916", + "metadata": {}, + "source": [ + "### CC voting — chosen ψ and FWD/REV sense per PrD\n", + "\n", + "The compilation step votes on (i) which eigenvector ψ_k best captures conformational motion at each PrD and (ii) whether that motion runs in the same (`+1` FWD) or opposite (`−1` REV) sense as a reference PrD.\n", + "\n", + "> With `INTERACTIVE=True`, this cell also recolours the red diamonds on the S2 sphere above by their chosen ψ." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "6ab6575d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CC data loaded: 53 PrDs | ψ choices: {1: 35, 2: 8, 3: 2, 4: 2, 5: 1, 6: 2, 7: 1, 8: 2}\n" + ] + } + ], + "source": [ + "viz.show_cc_voting(interactive=INTERACTIVE)" + ] + }, + { + "cell_type": "markdown", + "id": "1ebe8e80", + "metadata": {}, + "source": [ + "### Optical-flow quiver per PrD × ψ\n", + "\n", + "For each (PrD, ψ) pair, overlay the forward (`τ: 0→1`) and reverse (`τ: 1→0`) optical-flow vectors on the 2D class average. The chosen ψ (from CC voting) is marked with a ★.\n", + "\n", + "> With `INTERACTIVE=True`, drive this with the PrD and ψ sliders. With `INTERACTIVE=False`, it renders PrD 1 / ψ 1 (override via `viz.show_optical_flow(default_prd=N, default_psi=K, interactive=INTERACTIVE)`)." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "8c68558a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[static view — showing PrD 1, ψ1. Set INTERACTIVE=True for the PrD/ψ sliders.]\n" + ] + } + ], + "source": [ + "viz.show_optical_flow(interactive=INTERACTIVE)" + ] + }, + { + "cell_type": "markdown", + "id": "b2ecf21f", + "metadata": {}, + "source": [ + "### Trajectory free-energy landscape\n", + "\n", + "Per-state histogram `hUn` (50 conformational bins along τ) and the corresponding free-energy curve $\\Delta G(\\tau) = -\\ln P(\\tau)$ in units of $k_BT$, with the KDE of `tauAvg` overlaid for reference." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "d0327b9b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "hUn: min=145 max=467 total=11808\n" + ] + } + ], + "source": [ + "viz.show_trajectory()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ed1c9e33", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "manifoldem", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.18" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorial/RyR1GCs_demo/visualization.py b/tutorial/RyR1GCs_demo/visualization.py new file mode 100644 index 0000000..4df476f --- /dev/null +++ b/tutorial/RyR1GCs_demo/visualization.py @@ -0,0 +1,749 @@ +"""Plotting helpers for the RyR1GCs ManifoldEM tutorial notebook. + +Each `VizSession.show_*` method renders either a live ipywidgets/Plotly +viewer (`interactive=True`) or a static matplotlib snapshot that GitHub's +notebook viewer can display (`interactive=False`). +""" +from __future__ import annotations + +import base64 +import importlib +import pickle +from pathlib import Path +from typing import Optional + +import h5py +import matplotlib.image as mpimg +import matplotlib.pyplot as plt +import numpy as np +import plotly.graph_objects as go +from matplotlib.patches import Patch +from scipy import stats + + +def _load_toml(toml_path: Path) -> dict: + try: + toml_parser = importlib.import_module("tomllib") + except ModuleNotFoundError: + toml_parser = importlib.import_module("tomli") + with toml_path.open("rb") as f: + return toml_parser.load(f) + + +def load_session(toml_file_name: Optional[str] = None, cwd: Optional[Path] = None) -> "VizSession": + """Locate the project TOML, load pd_data.pkl, and return a VizSession.""" + cwd = Path(cwd) if cwd else Path.cwd() + + if toml_file_name is None: + candidates = sorted(cwd.glob("*.toml")) + if not candidates: + raise FileNotFoundError(f"No .toml file found in {cwd}.") + toml_file_name = candidates[0].name + print(f"Auto-detected TOML: {toml_file_name}") + + toml_file_name = toml_file_name.strip() + if not toml_file_name.endswith(".toml"): + toml_file_name += ".toml" + + toml_path = cwd / toml_file_name + print(f"Using TOML file: {toml_path}") + + toml_config = _load_toml(toml_path) + params_section = toml_config.get("params", toml_config) + project_name = params_section.get("project_name", "") + print(f"project_name: {project_name}") + + output_dir = cwd / "output" / project_name + pkl_path = output_dir / "pd_data.pkl" + print(f"Loading: {pkl_path}") + with open(pkl_path, "rb") as f: + pd_data = pickle.load(f) + + print(f"\nLoaded keys: {list(pd_data.keys())[:6]}…") + print(f" bin_centers : {pd_data['bin_centers'].shape}") + print(f" occupancy_full : {pd_data['occupancy_full'].shape}") + print(f" pos_thresholded : {pd_data['pos_thresholded'].shape}") + print(f" thres_low / high : {pd_data['thres_low']} / {pd_data['thres_high']}") + + return VizSession(pd_data=pd_data, output_dir=output_dir, project_name=project_name) + + +class VizSession: + """Holds tutorial state shared across notebook cells. + + Cross-cell interactivity (sphere click → updates PrD slider, CC voting + recolours sphere diamonds) requires sharing widget references; this + object owns that state so the notebook cells stay one-liners. + """ + + def __init__(self, pd_data: dict, output_dir: Path, project_name: str): + self.pd_data = pd_data + self.output_dir = Path(output_dir) + self.project_name = project_name + self.topos_dir = self.output_dir / "topos" + + self._cc_data: Optional[dict] = None + self._traj_data: Optional[dict] = None + + # populated when interactive viewers are displayed + self._sphere_fig = None + self._prd_slider = None + self._on_sphere_click = None + + # ── lazy data loaders ─────────────────────────────────────────────── + @property + def cc_data(self) -> dict: + if self._cc_data is None: + with open(self.output_dir / "CC" / "CC_file.pkl", "rb") as f: + self._cc_data = pickle.load(f) + return self._cc_data + + @property + def traj_data(self) -> dict: + if self._traj_data is None: + traj_dir = self.output_dir / "traj" + with open(traj_dir / "traj_name1.pkl", "rb") as f: + main = pickle.load(f) + with open(traj_dir / "traj_name1_vars.pkl", "rb") as f: + vars_ = pickle.load(f) + self._traj_data = {"main": main, "vars": vars_} + return self._traj_data + + # ───────────────────────────────────────────────────────────────────── + # S2 sphere + # ───────────────────────────────────────────────────────────────────── + def show_s2_sphere(self, interactive: bool = True): + if interactive: + self._show_s2_sphere_interactive() + else: + self._show_s2_sphere_static() + + def _build_sphere_traces(self): + pd = self.pd_data + bin_centers = pd["bin_centers"] + occupancy = pd["occupancy_full"] + pos_thres = pd["pos_thresholded"] + phi_thres = pd["phi_thresholded"] + theta_thres = pd["theta_thresholded"] + pos_full = pd["pos_full"] + + rng = np.random.default_rng(42) + n_show = min(5000, pos_full.shape[1]) + idx = rng.choice(pos_full.shape[1], n_show, replace=False) + pf = pos_full[:, idx] + kde = stats.gaussian_kde(pf) + density = kde(pf) + density /= density.max() + + u, v = np.linspace(0, 2 * np.pi, 60), np.linspace(0, np.pi, 30) + sphere = go.Surface( + x=np.outer(np.cos(u), np.sin(v)), + y=np.outer(np.sin(u), np.sin(v)), + z=np.outer(np.ones_like(u), np.cos(v)), + colorscale=[[0, "lightgrey"], [1, "lightgrey"]], + opacity=0.10, showscale=False, hoverinfo="skip", name="Unit sphere", + ) + bins_trace = go.Scatter3d( + x=bin_centers[0], y=bin_centers[1], z=bin_centers[2], + mode="markers", + marker=dict( + size=4, color=occupancy, colorscale="Viridis", + colorbar=dict(title="Occupancy
(particles/bin)", thickness=16, x=1.02), + opacity=0.80, line=dict(width=0), + ), + text=[f"bin {i}
occ = {o}" for i, o in enumerate(occupancy)], + hovertemplate="%{text}
(%{x:.3f}, %{y:.3f}, %{z:.3f})", + name="Bin centres", + ) + particles_trace = go.Scatter3d( + x=pf[0], y=pf[1], z=pf[2], mode="markers", + marker=dict(size=2, color=density, colorscale="Hot", opacity=0.35, line=dict(width=0)), + hovertemplate="(%{x:.3f}, %{y:.3f}, %{z:.3f})", + name=f"Particles (n={n_show}, KDE density)", + visible="legendonly", + ) + thres_trace = go.Scatter3d( + x=pos_thres[0], y=pos_thres[1], z=pos_thres[2], mode="markers", + marker=dict(size=8, color="red", opacity=0.95, symbol="diamond", + line=dict(color="darkred", width=1)), + text=[f"PD {i+1}
φ={phi_thres[i]:.1f}° θ={theta_thres[i]:.1f}°" + for i in range(len(phi_thres))], + hovertemplate="%{text}
(%{x:.3f}, %{y:.3f}, %{z:.3f})", + name=f"Active PDs (n={pos_thres.shape[1]}) ← click for class avg", + ) + return sphere, bins_trace, thres_trace, particles_trace + + def _show_s2_sphere_interactive(self): + import ipywidgets as widgets + from IPython.display import display + + pd = self.pd_data + sphere, bins_trace, thres_trace, particles_trace = self._build_sphere_traces() + + fig = go.FigureWidget(data=[sphere, bins_trace, thres_trace, particles_trace]) + fig.update_layout( + title=dict(text="S2 Orientation Distribution — " + self.project_name, x=0.5), + scene=dict( + xaxis=dict(title="x", showgrid=False, zeroline=False), + yaxis=dict(title="y", showgrid=False, zeroline=False), + zaxis=dict(title="z", showgrid=False, zeroline=False), + aspectmode="cube", bgcolor="rgb(240,240,248)", + ), + legend=dict(x=0.01, y=0.99, bgcolor="rgba(255,255,255,0.7)"), + margin=dict(l=0, r=0, b=0, t=50), height=680, + ) + + status_label = widgets.Label( + value=" ▶ Click a red diamond to view its 2D class average.", + style={"font_size": "13px"}, + ) + avg_out = widgets.Output() + + phi_thres = pd["phi_thresholded"] + theta_thres = pd["theta_thresholded"] + occupancy = pd["occupancy_full"] + thres_ids = list(pd["thres_ids"]) + + def on_click(trace, points, selector): + if not points.point_inds: + return + pd_idx = points.point_inds[0] + prd_num = pd_idx + 1 + img_path = self.topos_dir / f"PrD_{prd_num}" / "class_avg.png" + status_label.value = ( + f" PrD {prd_num} | φ={phi_thres[pd_idx]:.1f}° " + f"θ={theta_thres[pd_idx]:.1f}° | " + f"occ = {occupancy[thres_ids[pd_idx]]}" + ) + with avg_out: + avg_out.clear_output(wait=True) + if not img_path.exists(): + print(f"File not found: {img_path}") + return + fig2, axes = plt.subplots(1, 2, figsize=(9, 4.5)) + img = mpimg.imread(str(img_path)) + axes[0].imshow(img, cmap="gray" if img.ndim == 2 else None) + axes[0].set_title( + f"2D Class Average — PrD {prd_num}\n" + f"φ={phi_thres[pd_idx]:.1f}° θ={theta_thres[pd_idx]:.1f}° " + f"occ={occupancy[thres_ids[pd_idx]]}", + fontsize=11, + ) + axes[0].axis("off") + occ_active = [occupancy[thres_ids[i]] for i in range(len(thres_ids))] + axes[1].bar(range(1, len(thres_ids) + 1), occ_active, color="steelblue", edgecolor="none") + axes[1].bar(prd_num, occ_active[pd_idx], color="crimson", label=f"PrD {prd_num}") + axes[1].axhline(pd["thres_low"], color="red", lw=1, ls="--", label="low thresh") + axes[1].axhline(pd["thres_high"], color="green", lw=1, ls="--", label="high thresh") + axes[1].set_xlabel("PrD number") + axes[1].set_ylabel("Occupancy") + axes[1].set_title("Occupancy of active PDs", fontsize=11) + axes[1].legend(fontsize=9) + plt.tight_layout() + plt.show() + # if the PrD slider has been created, sync it + if self._prd_slider is not None: + self._prd_slider.value = prd_num + + fig.data[2].on_click(on_click) + self._sphere_fig = fig + self._on_sphere_click = on_click + + display(widgets.VBox([fig, status_label, avg_out])) + print( + f"Active PDs: {pd['pos_thresholded'].shape[1]} | " + f"Total bins: {len(pd['occupancy_full'])} | " + f"Total particles: {pd['pos_full'].shape[1]}" + ) + + def _show_s2_sphere_static(self): + """Render the Plotly sphere as a static PNG (via kaleido) so GitHub displays it.""" + pd = self.pd_data + sphere, bins_trace, thres_trace, particles_trace = self._build_sphere_traces() + fig = go.Figure(data=[sphere, bins_trace, thres_trace, particles_trace]) + fig.update_layout( + title=dict(text=f"S2 Orientation Distribution — {self.project_name}", x=0.5), + scene=dict( + xaxis=dict(title="x", showgrid=False, zeroline=False), + yaxis=dict(title="y", showgrid=False, zeroline=False), + zaxis=dict(title="z", showgrid=False, zeroline=False), + aspectmode="cube", bgcolor="rgb(240,240,248)", + ), + legend=dict(x=0.01, y=0.99, bgcolor="rgba(255,255,255,0.7)"), + margin=dict(l=0, r=0, b=0, t=50), width=900, height=680, + ) + try: + fig.show(renderer="png", width=900, height=680, scale=2) + except (ValueError, ImportError) as e: + print(f"(Plotly PNG export unavailable — {e}; falling back to matplotlib)") + self._show_s2_sphere_static_mpl() + + pt = pd["pos_thresholded"] + print( + f"Active PDs: {pt.shape[1]} | Total bins: {len(pd['occupancy_full'])} | " + f"Total particles: {pd['pos_full'].shape[1]} " + "[static view — set INTERACTIVE=True for clickable diamonds]" + ) + + def _show_s2_sphere_static_mpl(self): + """Matplotlib fallback for environments without kaleido.""" + pd = self.pd_data + bc = pd["bin_centers"] + occ = pd["occupancy_full"] + pt = pd["pos_thresholded"] + + fig = plt.figure(figsize=(8, 7)) + ax = fig.add_subplot(111, projection="3d") + u, v = np.meshgrid(np.linspace(0, 2 * np.pi, 40), np.linspace(0, np.pi, 20)) + ax.plot_surface(np.cos(u) * np.sin(v), np.sin(u) * np.sin(v), np.cos(v), + color="lightgrey", alpha=0.10, linewidth=0) + sc = ax.scatter(bc[0], bc[1], bc[2], c=occ, cmap="viridis", s=6, alpha=0.85) + ax.scatter(pt[0], pt[1], pt[2], c="red", s=55, marker="D", + edgecolors="darkred", linewidth=0.6, + label=f"Active PDs (n={pt.shape[1]})") + cb = plt.colorbar(sc, ax=ax, shrink=0.6, pad=0.05) + cb.set_label("Occupancy (particles/bin)") + ax.set_xlabel("x"); ax.set_ylabel("y"); ax.set_zlabel("z") + ax.set_title(f"S2 Orientation Distribution — {self.project_name}") + ax.legend(loc="upper left", fontsize=9) + ax.set_box_aspect((1, 1, 1)) + plt.tight_layout() + plt.show() + + # ───────────────────────────────────────────────────────────────────── + # Per-PrD eigenvector viewer + # ───────────────────────────────────────────────────────────────────── + def show_prd_viewer(self, default_prd: int = 1, interactive: bool = True): + if interactive: + self._show_prd_viewer_interactive(default_prd) + else: + self._render_prd_static(default_prd) + + def _gif_html(self, path: Path, width: int = 180) -> str: + with open(path, "rb") as f: + b64 = base64.b64encode(f.read()).decode() + return (f'
' + f'
' + f'{path.stem}
') + + def _render_prd_scree(self, prd_num: int): + prd_dir = self.topos_dir / f"PrD_{prd_num}" + eig_file = prd_dir / "eig_spec.txt" + if not eig_file.exists(): + print(f"eig_spec.txt not found: {eig_file}") + return + data = np.loadtxt(eig_file) + eig_idx = data[:, 0].astype(int) + eig_val = data[:, 1] + n_gifs = len(list(prd_dir.glob("psi_*.gif"))) + + fig_s, ax = plt.subplots(figsize=(6, 3.5)) + ax.bar(eig_idx, eig_val, color="steelblue", edgecolor="none") + ax.bar(eig_idx[:n_gifs], eig_val[:n_gifs], color="crimson", + edgecolor="none", label=f"psi with movies (1–{n_gifs})") + ax.set_xlabel("Eigenvalue index") + ax.set_ylabel("Eigenvalue") + ax.set_title(f"Eigenvalue spectrum — PrD {prd_num}", fontsize=11) + ax.legend(fontsize=9) + plt.tight_layout() + plt.show() + + def _render_prd_movies(self, prd_num: int): + from IPython.display import HTML, display + prd_dir = self.topos_dir / f"PrD_{prd_num}" + gifs = sorted(prd_dir.glob("psi_*.gif"), + key=lambda p: int(p.stem.split("_")[1])) + if not gifs: + print(f"No .gif files found in {prd_dir}") + return + html_parts = [f'

PrD {prd_num} — eigenvector movies

'] + html_parts += [self._gif_html(g) for g in gifs] + display(HTML("".join(html_parts))) + + def _render_prd_static(self, prd_num: int): + """Render the scree plot + a static grid of the eigenvector movie thumbnails (first frame).""" + from PIL import Image + prd_dir = self.topos_dir / f"PrD_{prd_num}" + self._render_prd_scree(prd_num) + + gifs = sorted(prd_dir.glob("psi_*.gif"), + key=lambda p: int(p.stem.split("_")[1])) + if not gifs: + print(f"No .gif files found in {prd_dir}") + return + n = len(gifs) + cols = min(4, n) + rows = (n + cols - 1) // cols + fig, axes = plt.subplots(rows, cols, figsize=(3 * cols, 3 * rows)) + axes = np.atleast_2d(axes).reshape(rows, cols) + for ax in axes.ravel(): + ax.axis("off") + for ax, gif in zip(axes.ravel(), gifs): + with Image.open(gif) as im: + ax.imshow(np.asarray(im.convert("L")), cmap="gray") + ax.set_title(gif.stem, fontsize=9) + plt.suptitle(f"PrD {prd_num} — eigenvector movies (first frame)\n" + "[static view — set INTERACTIVE=True for animated GIFs]", + fontsize=11) + plt.tight_layout() + plt.show() + + def _show_prd_viewer_interactive(self, default_prd: int = 1): + import ipywidgets as widgets + from IPython.display import display + + pd = self.pd_data + n_prds = pd["pos_thresholded"].shape[1] + phi_thres = pd["phi_thresholded"] + theta_thres = pd["theta_thresholded"] + occupancy = pd["occupancy_full"] + thres_ids = list(pd["thres_ids"]) + + prd_slider = widgets.IntSlider( + value=default_prd, min=1, max=n_prds, step=1, description="PrD:", + style={"description_width": "initial"}, + layout=widgets.Layout(width="420px"), + ) + prd_info = widgets.Label(value="", layout=widgets.Layout(width="400px")) + self._prd_slider = prd_slider + + scree_out = widgets.Output() + movies_out = widgets.Output() + tabs = widgets.Tab(children=[scree_out, movies_out]) + tabs.set_title(0, "Scree plot") + tabs.set_title(1, "Eigenvector movies") + + def render(change): + prd_num = prd_slider.value + pd_idx = prd_num - 1 + prd_info.value = ( + f"PrD {prd_num} | φ={phi_thres[pd_idx]:.1f}° " + f"θ={theta_thres[pd_idx]:.1f}° | " + f"occ = {occupancy[thres_ids[pd_idx]]}" + ) + with scree_out: + scree_out.clear_output(wait=True) + self._render_prd_scree(prd_num) + with movies_out: + movies_out.clear_output(wait=True) + self._render_prd_movies(prd_num) + + prd_slider.observe(render, names="value") + render(None) + + display(widgets.VBox([widgets.HBox([prd_slider, prd_info]), tabs])) + + # ───────────────────────────────────────────────────────────────────── + # Diffusion map analysis + # ───────────────────────────────────────────────────────────────────── + def show_diffusion_map(self, default_prd: int = 1, interactive: bool = True): + if interactive and self._prd_slider is not None: + self._show_diffusion_map_interactive() + else: + self._render_diffusion_map(default_prd, static_note=not interactive) + + def _render_diffusion_map(self, prd_num: int, static_note: bool = False): + pd_idx = prd_num - 1 + dist_file = self.output_dir / "distances" / f"IMGs_prD_{pd_idx}.h5" + diffmap_file = self.output_dir / "diff_maps" / f"gC_trimmed_psi_prD_{pd_idx}.h5" + + missing = [p for p in (dist_file, diffmap_file) if not p.exists()] + if missing: + for p in missing: + print(f"Not found: {p}") + return + + with h5py.File(dist_file, "r") as f: + D = f["D"][:] + rotations = f["rotations"][:] + with h5py.File(diffmap_file, "r") as f: + psi = f["psi"][:] + logEps = f["logEps"][:] + logSumWij = f["logSumWij"][:] + popt = f["popt"][:] + sigma = float(f["sigma"][()]) + R_sq = float(f["R_squared"][()]) + mu = f["mu"][:] + posPath = f["posPath"][:] + + N = D.shape[0] + logEps_opt = -popt[1] / popt[0] + dim_est = 2 * popt[0] * popt[2] + tanh_fit = popt[3] + popt[2] * np.tanh(popt[0] * logEps + popt[1]) + D_ord = D[np.ix_(posPath, posPath)] + + fig1, axes1 = plt.subplots(1, 2, figsize=(12, 4.8)) + im = axes1[0].imshow(D_ord, cmap="viridis", aspect="auto", interpolation="nearest") + plt.colorbar(im, ax=axes1[0], fraction=0.046, pad=0.04) + axes1[0].set_title(f"Distance matrix (posPath order) — PrD {prd_num} (N={N})", fontsize=11) + axes1[0].set_xlabel("Particle index (posPath)") + axes1[0].set_ylabel("Particle index (posPath)") + + axes1[1].plot(logEps, logSumWij, ".", color="steelblue", ms=3, alpha=0.6, label="data") + axes1[1].plot(logEps, tanh_fit, "-", color="limegreen", lw=2, label="tanh fit") + axes1[1].axvline(logEps_opt, color="orange", lw=1.5, ls="--", label=f"ln ε* = {logEps_opt:.3f}") + slope = popt[0] * popt[2] + fit_at_opt = popt[3] + popt[2] * np.tanh(0.0) + x_tang = np.array([logEps_opt - 3, logEps_opt + 3]) + axes1[1].plot(x_tang, fit_at_opt + slope * (x_tang - logEps_opt), + "r--", lw=1, alpha=0.7, label=f"slope = {slope:.3f}") + ymin, ymax = logSumWij.min(), logSumWij.max() + yspan = ymax - ymin or 1.0 + axes1[1].text( + logEps.min() + 0.03 * (logEps.max() - logEps.min()), + ymax - 0.05 * yspan, + f"σ = {sigma:.3e}\nDim ≈ {dim_est:.2f}\nR² = {R_sq:.4f}", + fontsize=10, va="top", + bbox=dict(boxstyle="round,pad=0.3", fc="lightyellow", alpha=0.85), + ) + axes1[1].set_xlabel("ln ε", fontsize=12) + axes1[1].set_ylabel("ln Σ Wᵢⱼ", fontsize=12) + axes1[1].set_title(f"Ferguson plot — PrD {prd_num}", fontsize=11) + axes1[1].legend(fontsize=9) + plt.tight_layout() + plt.show() + + psi1 = psi[:, 0] + psi2 = psi[:, 1] + colorings = [ + (posPath.astype(float), "posPath (conformational order)", "viridis"), + (mu, "μ (Riemannian density)", "plasma"), + (rotations, "In-plane rotation (rad)", "RdBu"), + ] + fig2, axes2 = plt.subplots(1, 3, figsize=(14, 4.2)) + for ax, (c, clabel, cmap) in zip(axes2, colorings): + sc = ax.scatter(psi1, psi2, c=c, cmap=cmap, s=14, alpha=0.75, linewidths=0) + plt.colorbar(sc, ax=ax, fraction=0.046, pad=0.04, label=clabel) + ax.set_xlabel("ψ₁", fontsize=11) + ax.set_ylabel("ψ₂", fontsize=11) + suffix = f" — {clabel}\nPrD {prd_num}" + ax.set_title(f"ψ₁ vs ψ₂{suffix}", fontsize=10) + plt.tight_layout() + plt.show() + + if static_note: + print(f"[static view — showing PrD {prd_num}. " + "Set INTERACTIVE=True to drive this with the PrD slider.]") + + def _show_diffusion_map_interactive(self): + import ipywidgets as widgets + from IPython.display import display + + dm_out = widgets.Output() + + def render(change): + prd_num = self._prd_slider.value + with dm_out: + dm_out.clear_output(wait=True) + self._render_diffusion_map(prd_num) + + self._prd_slider.observe(render, names="value") + render(None) + display(dm_out) + + # ───────────────────────────────────────────────────────────────────── + # CC voting + # ───────────────────────────────────────────────────────────────────── + def show_cc_voting(self, interactive: bool = True): + cc = self.cc_data + psinums_all = cc["psinums"][0] + senses_all = cc["senses"][0] + n_prd_cc = len(psinums_all) + prd_nums = np.arange(1, n_prd_cc + 1) + colors_sense = ["tomato" if s > 0 else "steelblue" for s in senses_all] + + fig_cc, axes_cc = plt.subplots(1, 2, figsize=(14, 4.5)) + axes_cc[0].bar(prd_nums, psinums_all + 1, color=colors_sense, edgecolor="none", width=0.85) + axes_cc[0].set_xlabel("PrD number", fontsize=12) + axes_cc[0].set_ylabel("Chosen ψ index (1-indexed)", fontsize=12) + axes_cc[0].set_title("CC voting — chosen ψ per PrD", fontsize=12) + axes_cc[0].set_yticks(range(1, 9)) + axes_cc[0].set_yticklabels([f"ψ{k}" for k in range(1, 9)]) + axes_cc[0].legend( + handles=[Patch(fc="tomato", label="FWD (+1)"), + Patch(fc="steelblue", label="REV (−1)")], + fontsize=10, loc="upper right", + ) + + axes_cc[1].bar(prd_nums, senses_all, color=colors_sense, edgecolor="none", width=0.85) + axes_cc[1].axhline(0, color="k", lw=0.8, ls="--") + axes_cc[1].set_xlabel("PrD number", fontsize=12) + axes_cc[1].set_ylabel("Sense (+1 FWD / −1 REV)", fontsize=12) + axes_cc[1].set_title("CC voting — FWD / REV sense per PrD", fontsize=12) + axes_cc[1].set_yticks([-1, 0, 1]) + axes_cc[1].set_yticklabels(["−1 REV", "0", "+1 FWD"]) + + plt.suptitle(f"SENSE quality — {self.project_name}", fontsize=13, y=1.02) + plt.tight_layout() + plt.show() + + if interactive and self._sphere_fig is not None: + with self._sphere_fig.batch_update(): + self._sphere_fig.data[2].marker.color = psinums_all + 1 + self._sphere_fig.data[2].marker.colorscale = "Turbo" + self._sphere_fig.data[2].marker.colorbar = dict( + title="Chosen ψ", thickness=14, x=1.20, + tickvals=list(range(1, 9)), + ticktext=[f"ψ{k}" for k in range(1, 9)], + ) + + unique_psis = dict(zip(*np.unique(psinums_all + 1, return_counts=True))) + print(f"CC data loaded: {n_prd_cc} PrDs | ψ choices: {unique_psis}") + + # ───────────────────────────────────────────────────────────────────── + # Optical flow + # ───────────────────────────────────────────────────────────────────── + def show_optical_flow(self, default_prd: int = 1, default_psi: int = 1, + interactive: bool = True): + if interactive: + self._show_optical_flow_interactive(default_prd, default_psi) + else: + self._render_optical_flow(default_prd, default_psi, static_note=True) + + def _render_optical_flow(self, prd_num: int, psi_num: int, static_note: bool = False): + pd_idx = prd_num - 1 + psi_idx = psi_num - 1 + psinums_all = self.cc_data["psinums"][0] + chosen_psi = int(psinums_all[pd_idx]) + star = " ★" if psi_idx == chosen_psi else "" + + of_file = self.output_dir / "CC" / "CC_OF" / f"OF_prD_{pd_idx}.pkl" + img_path = self.topos_dir / f"PrD_{prd_num}" / "class_avg.png" + + if not of_file.exists(): + print(f"OF file not found: {of_file}") + return + with open(of_file, "rb") as f: + of_data = pickle.load(f) + fv = of_data["FlowVecPrD"] + if psi_idx >= len(fv) or fv[psi_idx] is None: + print(f"No OF data for ψ{psi_num} at PrD {prd_num}") + return + + entry = fv[psi_idx] + step = 16 + H, W = 336, 336 + ys = np.arange(step // 2, H, step) + xs = np.arange(step // 2, W, step) + Xg, Yg = np.meshgrid(xs, ys) + + fig_of, axes_of = plt.subplots(1, 2, figsize=(12, 5.5)) + for ax, direction, label in zip(axes_of, ["FWD", "REV"], + ["FWD (τ: 0→1)", "REV (τ: 1→0)"]): + if direction not in entry: + ax.text(0.5, 0.5, f"{direction} data missing", ha="center", va="center", + transform=ax.transAxes) + continue + vec = entry[direction] + vx = np.asarray(vec["Vx"], dtype=float) + vy = np.asarray(vec["Vy"], dtype=float) + mag = np.asarray(vec["Mag"], dtype=float) + + if img_path.exists(): + bg = plt.imread(str(img_path)) + ax.imshow(bg, cmap="gray" if bg.ndim == 2 else None, + extent=[0, W, H, 0], origin="upper", alpha=0.6) + else: + ax.imshow(mag, cmap="hot", extent=[0, W, H, 0], origin="upper", alpha=0.4) + + u_sub = vx[Yg, Xg] + v_sub = -vy[Yg, Xg] + m_sub = np.sqrt(u_sub ** 2 + v_sub ** 2) + ref_mag = float(np.percentile(m_sub[m_sub > 0], 95)) if (m_sub > 0).any() else 1e-9 + display_scale = (step * 0.70) / max(ref_mag, 1e-9) + U = u_sub * display_scale + V = v_sub * display_scale + + ax.quiver(Xg, Yg, U, V, mag[Yg, Xg], + cmap="plasma", scale=1.0, scale_units="xy", angles="xy", + width=0.004, headwidth=4, headlength=5, minlength=0.4) + ax.set_xlim(0, W); ax.set_ylim(H, 0) + ax.set_title(f"{label} PrD {prd_num} ψ{psi_num}{star}", fontsize=11) + ax.axis("off") + + plt.suptitle(f"Optical flow quiver — PrD {prd_num} ψ{psi_num}{star}", fontsize=12) + plt.tight_layout() + plt.show() + + if static_note: + print(f"[static view — showing PrD {prd_num}, ψ{psi_num}. " + "Set INTERACTIVE=True for the PrD/ψ sliders.]") + + def _show_optical_flow_interactive(self, default_prd: int = 1, default_psi: int = 1): + import ipywidgets as widgets + from IPython.display import display + + prd_slider = self._prd_slider + if prd_slider is None: + n_prds = self.pd_data["pos_thresholded"].shape[1] + prd_slider = widgets.IntSlider( + value=default_prd, min=1, max=n_prds, step=1, description="PrD:", + style={"description_width": "initial"}, + layout=widgets.Layout(width="420px"), + ) + self._prd_slider = prd_slider + + psi_slider = widgets.IntSlider( + value=default_psi, min=1, max=8, step=1, description="ψ:", + style={"description_width": "initial"}, + layout=widgets.Layout(width="320px"), + ) + of_out = widgets.Output() + + def render(change): + with of_out: + of_out.clear_output(wait=True) + self._render_optical_flow(prd_slider.value, psi_slider.value) + + prd_slider.observe(render, names="value") + psi_slider.observe(render, names="value") + render(None) + + display(widgets.VBox([widgets.HBox([prd_slider, psi_slider]), of_out])) + + # ───────────────────────────────────────────────────────────────────── + # Trajectory free-energy (no widgets — always static) + # ───────────────────────────────────────────────────────────────────── + def show_trajectory(self, interactive: bool = True): # interactive kept for API symmetry + td = self.traj_data + hUn = td["main"]["hUn"].astype(float) + tauAvg = td["vars"]["tauAvg"] + n_states = len(hUn) + state_ax = np.arange(1, n_states + 1) + + prob = hUn / hUn.sum() + prob_safe = np.where(prob > 0, prob, np.nan) + dG = -np.log(prob_safe) + dG -= np.nanmin(dG) + + tau_kde = stats.gaussian_kde(tauAvg, bw_method=0.05) + tau_grid = np.linspace(0, 1, 200) + tau_pdf = tau_kde(tau_grid) + + fig_prob, (ax1, ax2) = plt.subplots(1, 2, figsize=(13, 4.5)) + ax1.bar(state_ax, hUn, color="steelblue", edgecolor="none", width=0.85, alpha=0.85) + ax1.set_xlabel("Conformational state (τ bin)", fontsize=12) + ax1.set_ylabel("Particle count hUn", fontsize=12) + ax1.set_title(f"State histogram — {self.project_name}\n" + f"Total particles: {int(hUn.sum())} | 50 states", fontsize=11) + + ax2.plot(state_ax, dG, "o-", color="crimson", lw=2, ms=5, + label=r"$-\ln P(\tau)$ [k$_B$T]") + ax2.set_xlabel("Conformational state (τ bin)", fontsize=12) + ax2.set_ylabel(r"$\Delta G(\tau)$ [k$_B$T]", fontsize=12, color="crimson") + ax2.tick_params(axis="y", labelcolor="crimson") + + ax2b = ax2.twinx() + ax2b.plot(tau_grid * (n_states - 1) + 1, tau_pdf, "--", color="navy", + lw=1.5, alpha=0.75, label="tauAvg KDE") + ax2b.set_ylabel("tauAvg KDE density", fontsize=11, color="navy") + ax2b.tick_params(axis="y", labelcolor="navy") + + lines1, labels1 = ax2.get_legend_handles_labels() + lines2, labels2 = ax2b.get_legend_handles_labels() + ax2.legend(lines1 + lines2, labels1 + labels2, fontsize=10, loc="upper center") + ax2.set_title("Free-energy landscape — −ln P(τ)", fontsize=11) + + plt.tight_layout() + plt.show() + print(f"hUn: min={hUn.min():.0f} max={hUn.max():.0f} total={hUn.sum():.0f}") diff --git a/tutorial/images/GUI-Compile.png b/tutorial/images/GUI-Compile.png new file mode 100644 index 0000000..3a5cc5a Binary files /dev/null and b/tutorial/images/GUI-Compile.png differ diff --git a/tutorial/images/GUI-ManifoldEM.png b/tutorial/images/GUI-ManifoldEM.png new file mode 100644 index 0000000..18ad524 Binary files /dev/null and b/tutorial/images/GUI-ManifoldEM.png differ diff --git a/tutorial/images/GUI-NLSAmovie.png b/tutorial/images/GUI-NLSAmovie.png new file mode 100644 index 0000000..c6756cc Binary files /dev/null and b/tutorial/images/GUI-NLSAmovie.png differ diff --git a/tutorial/images/GUI-bestPD.png b/tutorial/images/GUI-bestPD.png new file mode 100644 index 0000000..fe9c83f Binary files /dev/null and b/tutorial/images/GUI-bestPD.png differ diff --git a/tutorial/images/GUI-distribution.png b/tutorial/images/GUI-distribution.png new file mode 100644 index 0000000..08d1d56 Binary files /dev/null and b/tutorial/images/GUI-distribution.png differ diff --git a/tutorial/images/GUI-initialization.png b/tutorial/images/GUI-initialization.png new file mode 100644 index 0000000..c98fd1b Binary files /dev/null and b/tutorial/images/GUI-initialization.png differ diff --git a/tutorial/images/GUI-landscape.png b/tutorial/images/GUI-landscape.png new file mode 100644 index 0000000..cbe1dc6 Binary files /dev/null and b/tutorial/images/GUI-landscape.png differ diff --git a/tutorial/images/GUI-thresholding.png b/tutorial/images/GUI-thresholding.png new file mode 100644 index 0000000..0586a8e Binary files /dev/null and b/tutorial/images/GUI-thresholding.png differ diff --git a/tutorial/images/psi_1.gif b/tutorial/images/psi_1.gif new file mode 100644 index 0000000..b20d7a0 Binary files /dev/null and b/tutorial/images/psi_1.gif differ diff --git a/tutorial/images/schematic.png b/tutorial/images/schematic.png new file mode 100644 index 0000000..b960c4c Binary files /dev/null and b/tutorial/images/schematic.png differ diff --git a/tutorial/old-manual-readme-form.md b/tutorial/old-manual-readme-form.md new file mode 100644 index 0000000..3d04e06 --- /dev/null +++ b/tutorial/old-manual-readme-form.md @@ -0,0 +1,929 @@ +# NOTE: +This tutorial was pulled from a PDF file into markdown. Many things may display incorrectly or +be inaccurate. Please report any problems via the issues page or create a PR to address them. + + + +# ManifoldEM User Manual +Evan Seitz, Robert Blackwell, Ghoncheh Mashayekhi, Hstau Liao, Suvrajit Maji, +Peter Schwander*, Abbas Ourmazd* and Joachim Frank* + +Version 0.3.0 + +The dataset for this tutorial can be downloaded: +[RyR1GCs_demo.tar.gz](https://users.flatironinstitute.org/~rblackwell/manifold/RyR1GCs_demo.tar.gz) + +# Introduction +This tutorial provides an overview of ManifoldEM (Beta version) in Python 3 for determination of +cryo-EM conformational continua, as was first introduced by Dashti et al. (2014). The tutorial +covers the entire manifold analysis workflow, from data preparation to construction of free-energy +landscape. Carefully going through this tutorial will prepare you for running ManifoldEM on your +own data. This tutorial uses a demo data set provided by Mashayekhi (2020), which is a small +subset of the experimental data provided by Amédée des Georges et al. (2016) used in the +functional pathway analysis of ryanodine receptor 1 (RyR1; Dashti et al., 2020). As such, this data +set should only be used for help in understanding the software and for training purposes. If you +have any questions about ManifoldEM after reading this entire document, carefully check the +ManifoldEM Python GitHub forum for similar inquiries or – if no similar posts exist – create a new +thread detailing your inquiry. As well, if you find any errors while reading this document, please let +us know. + +## 1.1 ManifoldEM Motivation +Molecular machines are macromolecular assemblies – consisting of proteins or nucleoproteins – +that perform basic life functions and undergo numerous conformational changes in the course of +their work cycles. For some molecular machines, such as the ribosome, it has been possible to +develop in vitro systems with all components necessary to run productive work cycles delivering the +product, in this instance a protein. Even though the atomistic composition of molecules ultimately +defines a finite step size, the states form a virtual continuum due to the complexity of the structures +involved and the large number of steps in their interactions. +Through application of advanced imaging techniques, single-particle cryogenic electron microscopy +(cryo-EM; Frank 2006; 2016; 2017) allows these macromolecules to be individually visualized after +rapid freezing in vitreous ice at a rate that is assumed to be faster than the overall reconfiguration +time of the system (Whitford et al., 2011). As a result, the ensemble of molecules closely +approximates the thermal-equilibrium distribution of states immediately prior to being frozen. +Cryo-EM aims to capture the activity of the macromolecule in its complete form, encompassing its +continuum of accessible states. + +The depth of information captured by cryo-EM has inspired numerous data-analytic approaches +that aim to systematically uncover these ensemble-characteristics. The algorithms underlying the +approach by Dashti et al. (2014) and later developments (Dashti et al., 2020 and Mashayekhi 2020), +summarily referred to as ManifoldEM, are one such approach. ManifoldEM uses geometric +machine-learning to identify the set of leading conformational motions best able to describe the +function of a molecular machine. It is based on the premise that, for a sufficiently large set of +snapshots obtained by single-particle cryo-EM, even energetically unfavored states of a molecule +are observed. As a consequence, the snapshots – by virtue of their similarity relationships – form a +quasi-continuum in high-dimensional space. Through manifold embedding, the data are +represented in a minimal low-dimensional space where coordinate axes express modes of the +conformational motions in a way that has to be discovered on a case-to-case basis. In the original +paper (Dashti et al., 2014), these modes were termed “reaction coordinates,” a term we wish to +avoid as it has different connotations in other fields. Instead, following the terminology of Dashti et +al. (2020), we will use “conformational coordinates” (CCs, for short) throughout this document. +Importantly, the number of sightings of a molecule in a particular state can be interpreted, via the +Boltzmann relationship, as a measure of free energy (Fischer et al., 2010). This transformation adds +probabilities to this space, giving the thermodynamic likelihood of a hop from any one state to any +of its immediate neighbors. The global geometry of the energy landscape characterizes the +molecular machine’s navigational probabilities, with deep wells representing distinct regions of +conformational states and mountainous regions constraining the transitions between them (Seitz +and Frank, 2020). Further, since specific sequences of conformations give rise to biomolecular +function, this descriptive mapping also identifies the molecular machine’s functional dynamics. +Through ManifoldEM, the potential now exists to create the conformational free-energy landscape +for any molecular machine capable of being visualized by cryo-EM. Results from previous +ManifoldEM studies on biological systems – including the ribosome (Dashti et al., 2014), ryanodine +receptor (Dashti et al., 2020) and SARS-CoV-2 spike protein (Sztain et al., 2021) – have proven its +viability and its potential to provide new information on the functional dynamics of biomolecules. + +## 1.2 ManifoldEM Software Platforms +The original ManifoldEM methodology (Dashti et al., 2014) was implemented using Matlab code, +and has recently been made available for Matlab users (Mashayekhi, 2020). The ManifoldEM Python +Beta release mirrors an earlier (2019) 1D version of the Matlab code, except for a number of +additional enhancements to be elaborated on below. Importantly, in this Beta release, only the +generation of 1D energy paths have been made available. It is a work in progress to extend this +software package to incorporate 2D energy landscapes as done in the current Matlab package +(Mashayekhi, 2020). In addition, it is our plan for future ManifoldEM Python distributions to +incorporate an alternative method – ESPER: Embedded Subspace Partitioning and Eigenfunction +Realignment (Seitz et al., 2021) – able to combine with this current framework with potential to +enhance the quality of its final outputs. There are also several limitations to the current ManifoldEM +method that have been outlined by Mashayekhi (2020) and Seitz et al. (2021) – and detailed later in +Appendix E – which we believe ESPER is able to circumvent. As a final note, as the more recent +version of the Matlab code has now been published as a separate, actively-managed branch +(Mashayekhi, 2020), there is a future possibility of increasingly different, distinct features arising in +the Matlab and Python versions. + +The Python code comprises two features not contained in the original Matlab code: (1) an +implementation of an automated angular propagation algorithm (Maji et al., 2020); and (2) an +advanced graphic user interface (GUI) that integrates all Python code, communicates with all +relevant files and facilitates the execution of essential operations, while providing informative +visualization of important intermediate and final outputs. A few words about the importance of the +GUI in steering and controlling the ManifoldEM analysis. Many advanced software systems now +employed in cryo-EM are of the “black box” type, allowing only the specification of a command +stream without feedback to the user, and without providing an intuition about the way parameter +choices affect the outcome (Maji and Frank, 2021). In this they sharply differ from interactive +modular software systems that popularized early research in single-particle cryo-EM (Frank et al., +1996; van Heel et al., 1996) and offered instant feedback. The diversity in the nature of the input +data and in the kinds of questions asked in the ManifoldEM approach make the black box-type of +user control difficult to sustain even by experts, and virtually impossible in the hands of non-expert +users. The GUI presented here, by providing instant feedback on the impact of every parameter +choice, puts the user firmly in the driver’s seat, allowing them to steer the processing in the desired +direction. + +## 1.3 ManifoldEM Alpha Release +Internal testing and debugging of code was conducted during the process of translating Matlab code +into Python and integration with GUI. More recently, a workflow for producing physically plausible +synthetic data was created (Seitz et al., 2019) and implemented for testing the fidelity of all modules +with heightened precision. By means of this flexible tool, the need for many of our +previously-mentioned innovations was first encountered and answered. In order to expand our +awareness of potential problems in software, performance and interface, we organized and +conducted an Alpha version release of the ManifoldEM Python suite, with scope limited to +acquisition of 1D energy landscape. All code was published on a private GitHub repository with +detailed documentation provided on installation, initiation and overall use of the ManifoldEM GUI. +The length of our alpha trial spanned approximately eight months, beginning in February and +ending by late August, 2019. + +Our Alpha user group encompassed 10 individuals, comprising scientists and engineers from +various (cryo-EM related) fields. Extensive communications with these users were conducted by our +team via email or private GitHub forum to provide guidance on operations and errors encountered. +Alpha users were specifically instructed to test the software using their own or others’ published +online cryo-EM data sets. Both options were exercised, and as these users worked with a variety of +operating systems and hardware, we encountered a unique range of situations and unique sets of +problems to explore. This experience made us aware of shortcomings in documentation of +workflow, helped guide our team towards optimizing software performance and provided +opportunities to enhance useability through the user manual and tutorial now included in this +release. We hope this Beta release will likewise provide our team with useful feedback for +improvement, achievable now from a wider and more diverse audience. + +## 2 Installation +We next detail the steps required to install the ManifoldEM Python 3 environment, which uses +packages required for visualization (frontend) and calculations (backend). The GUI is programmed +using PyQt5 and TraitsUI, with data visualizations achieved via Mayavi (3D) and Matplotlib (2D). +The majority of backend calculations are performed using NumPy. We also note that this Beta +release has only been thoroughly tested on Linux and MacOS operating systems. + +## 2.1 Getting Started +We recommend using a unique directory for each cryo-EM data set you want to analyze (hereby +referred to as the project directory). The project directory can be downloaded from the GitHub +ManifoldEM_Python master branch via the clone or download button near the top of the main +page. Users can elect to either (1) download a .zip file and move it to their directory of choice – +unzipping the package therein – or (2) navigate to their directory of choice in the command line +interface (CLI) and perform the action: git clone , where is the GitHub-provided +URL link (sans brackets). In either case, the ManifoldEM project directory will be created at this +location and contain all the files needed to run the program. +Each ManifoldEM project directory should come equipped with: (1) a modules folder where all +backend algorithms are stored; (2) a GUI file for running the user interface; (3) an icons folder for +GUI graphics; (4) a copy of this manual; and (5) licensing information. You may find it convenient to +store your relevant cryo-EM input files within this newly created project directory. The root folder +name can be initially renamed to uniquely correspond to your project; however, it is imperative that +this name is not altered after a new project has been initiated, and that the core files within the +project directory are not edited or moved. + +## 2.2 Installing the Environment +Before initializing the GUI, you need a python environment. Either install a version of conda or recent python3 distribution. + +If using a python virtual environment: +```sh +python3 -m venv ~/envs/manifoldem +source ~/envs/manifoldem/bin/activate +pip install git+https://github.com/flatironinstitute/ManifoldEM +``` + +Or with conda: +```sh +conda create -n manifoldem +conda activate manifold em +pip install git+https://github.com/flatironinstitute/ManifoldEM +``` + +Note that when using conda, this bypasses conda's package management system and can lead to +problems if you later install packages into this environment with `conda install`. It's +recommended to keep an environment purely for `ManifoldEM`. + +Now all you need to run this program, once your environment is activated, is to run +`manifold-gui` + +# 3 Imports Tab +Upon opening the ManifoldEM Python GUI, you will be presented with the option to start a new +project or resume an existing one. If this wasn't your first time running the GUI, you could resume +progress at this point on a previous project by selecting that project's parameters .pkl file. +After selecting to start a new project, you will land on the first tab of the GUI (the Import tab), where +a number of fields are present requiring specific inputs. In order, these fields are: Average Volume; +Alignment File; Image Stack; Mask Volume; Project Name; Pixel Size; Resolution; Object Diameter and +Aperture Index. As well, two non-editable fields exist for Shannon Angle and Angle Width. We will +next go through each of these inputs in turn. + +(As a note for those unfamiliar with cryo-EM terminology, the use of “volume” above is unique to the +cryo-EM community, and is shorthand for a “3D reconstruction” or, more technically, a “3D Coulomb +potential map”. Throughout this document, we will use “volume” to designate a 3D Coulomb +potential map resulting from 3D reconstruction in cryo-EM). + +## 3.1 Average Volume +For this entry, browse for your molecule's Coulomb potential map (.mrc). For the RyR1 data set, +search for the file RyR1_AvgVol_Binned.mrc in the \demo directory of the ManifoldEM Python +repository. If you are running your own data set, this volume can be obtained by performing 3D +Auto-Refine on your alignment file in RELION. This average volume file will only be used to help you +navigate key aspects of your molecule throughout the ManifoldEM GUI. It has no other purpose in +the workflow. + +## 3.2 Alignment File +For this entry, browse for your molecule's alignment file (.star), which links each of the 2D images +in the image stack to their corresponding orientational angles and related microscopy parameters. +This file is the product of orientational recovery via RELION as obtained either prior to 3D +classification or after combining a subset of classes from 3D classification. Please see the Resolution +section for guidelines on achieving optimal results. If running with the demo RyR1 data set, search +for the file RyR1GCs_clustRem.star. ManifoldEM requires (at minimum) the following parameters +within the alignment file: Image Name; Angle Rot; Angle Tilt; Angle Psi; Origin X; Origin Y; Defocus U; +Defocus V; Voltage and Spherical Aberration. To note, ManifoldEM is not currently set up to calculate +elliptical defocus; instead, it treats all cases of defocus as spherical. As well, although the software is +set up to handle image recentering, if your original micrographs are available, we recommend +recentering before ManifoldEM (and thus also setting Origin X and Origin Y values in the alignment +file to zero) as to avoid introduction of padding artifacts that could lower the fidelity of the distance +matrix. + +We also note that ManifoldEM accepts both former and current (version-3.1) RELION formats. The +script read_alignfile.py automates this decision based on the presence of “data_optics” in the +header of the alignment file. Please consult the demo file RyR1GCs_clustRem.star as reference for +pre-3.1 formatting. If using an alternative package (e.g., cryoSPARC), alignment files will need to be +converted appropriately. For the example of using cryoSPARC, tools such as PyEM can be used to +convert to RELION. + +## 3.3 Image Stack +For this entry, browse for your molecule's image stack (.mrcs), which is the set of all individual +molecular images obtained from particle picking. If running with the demo RyR1 data set, search for +the file RyR1GCs_clustRem.mrcs. We suggest that all images are unbinned and standardized (with +average density in the background approximately 0 and standard deviation in noise approximately +1). If you have multiple image stack files spread out across one or many folders, we also require they +first be joined into one singular stack for import into ManifoldEM. This can be done using the image +stacks' corresponding alignment file via the RELION command: +relion_preprocess --operate_on FOO.star --operate_out BAR +This operation will create a new (possibly smaller) alignment file and image stack containing only +those images referenced in the original alignment file. + +## 3.4 Mask Volume +This entry is optional and should be included if you wish to mask out a specific region of your +molecule for processing in ManifoldEM. If running with the demo RyR1 data set, you can leave this +entry blank. Using this volumetric mask, all exterior voxels/pixels will be ignored during all future +computations (i.e., Distances and Optical Flow, which will be discussed later in this manual). +Volume Masks must be created external to ManifoldEM. While several methods exist, here we detail +one such workflow using Chimera and RELION. Assuming you have access to your macromolecule’s +structural information (in the form of 3D atomic coordinates from the PDB), Chimera’s molmap +command (along with a given input resolution; e.g., 20) can be used, followed by resampling of that +output volume (#1) onto the original coordinates. For example, this last step can be achieved by +importing your class average #0 into the scene and translating the new volume #1 to match its +position, then running vop resample #1 onGrid #0 to produce a resampled volume (#2). Next, +alter the isosurface level of the volume #2 in Chimera as needed and record the final number. After +saving this volume to file, relion_mask_create can be used (making sure to set the threshold +--ini_threshold in correspondence with your preferred isosurface level from Chimera) to create +an inclusion mask. + +## 3.5 Project Name +This entry is optional and can be used for supplying names for different projects within the same +project directory. If no name is provided, the current date and time (taken when the project was +initialized) will be used. This project name will be used in the titles of both the outputs_ folder (containing all backend calculations) and params_ file (containing all +user-defined parameters). If you choose a project name that is already being used within the same +project directory, you will be asked to either choose a different name or overwrite the previous +outputs folder and parameters file before proceeding to the next tab. + +## 3.6 Pixel Size +This parameter defines the pixel size (Å/pixel) of the camera used to obtain your cryo-EM images. +This value can be found within your alignment file (rlnPixelSize), or if not present there +explicitly, can be obtained by dividing the value for rlnDetectorPixelSize by +rlnMagnification. For example, if your STAR alignment file shows a Detector Pixel Size of 5 𝜇m +and Magnification of 31000, your Pixel Size can be obtained via: 5e-6 / 31000 = 1.6129e-10. +If running with the demo RyR1 data set, set this value to 1.255 Å. As a note on RyR1, the published +Pixel Size actually deviates from the value obtained via the above calculation due to an additional +calibration technique. As a rule of thumb, if using a previously published data set, always make sure +to use the final value as listed in the publication itself. + +## 3.7 Resolution +This parameter defines the resolvability in the Coulomb potential map of your molecule obtained +from Fourier Shell Correlation. If running with the sample RyR1 data set, set this value to 5 Å. If +using your own data set, the resolution can be obtained by running RELION 3D Auto-refine on your +alignment file. After doing so, navigate to the run.out file from the final iteration; near the bottom +of this file, you will find: Auto-refine: + Final resolution (without masking) is: +. It is important to note that pursuing the highest resolution possible can actually be +counterproductive in determining the conformational continuum by ManifoldEM, as a tradeoff +exists between spatial resolution of a volume (representing an average of some limited number of +states) and differentiation of states (i.e., resolution in state space) in the molecule’s +quasi-continuum. Therefore, preprocessing techniques (such as data cleaning and removal of +low-occupancy class averages) should be as careful as possible to preserve the widest spectrum of +your molecule’s states. Please see Appendix C for more information on preprocessing. + +## 3.8 Object Diameter +This parameter describes the maximum width of your protein structure; and should be taken to +approximate the maximum width of your molecule across all obtained projection directions and +conformations. If unknown, this distance can be approximated using Chimera. In Chimera, open the +3D Auto-refine MRC volume, navigate to the Tools > Volume Data > Volume Tracer window, and place +two data points on the most diametrically opposed voxels in your structure (with controls +determined via the Place Markers setting of that subwindow). Once these two markers are placed, +Ctrl-click the first marker, then Ctrl+Shift-doubleclick the second marker. Finally, choose the Show +Distance popup when it appears. If running with the sample RyR1 data set, you can set this value to +360 Å as recommended in Mashayekhi (2020). + +## 3.9 Aperture Index +This parameter is an integer describing the aperture size in terms of the Shannon angle. If running +with the sample RyR1 data set, set the aperture index to 4. We recommend always starting with an +aperture index of 1. After all other inputs have been entered on the Import tab, the effects of this +value can be determined on the next tab (Distribution). We'll describe how to measure the goodness +of each aperture index in our discussion on Tessellation Thresholds in the next section. If you find +that an aperture index of 1 is unsuitable by the standards described there, you can return to the first +tab and increase its value to 2, repeating this process until an optimal value is obtained. +## 3.10 Shannon Angle +The Shannon angle is used to calculate the orientation bin size. This value will automatically +re-adjust as the other user inputs are altered. It is defined via: +Shannon angle = resolution / object diameter +## 3.11 Angular Aperture Width +This parameter represents the width of the aperture on S2 +(in radians). Like the Shannon angle, this +value will automatically re-adjust as the other user inputs are altered. It is defined via: +angle width = aperture index ⨉ Shannon angle. +Once all inputs have been entered (sans optional entries: Mask Volume and Project Name), click the +View Orientation Distribution button at the bottom of the window to proceed to the Distribution tab. + +## 4 Distribution Tab +The user alignment file contains information on the rotational orientations of each snapshot in the +ensemble. These images are naturally distributed across accessible orientations over an angular +space known as the two-sphere (S2 +). ManifoldEM bins images within local clusters on S2 +defined by +the boundaries of tessellated regions (a mosaic pattern of many virtually identical shapes fitted +together; Lovisolo et al., 2001). The size of the shapes used within this spherical tessellation is +determined by the Angle Width calculated on the first tab. Each tessellated region is given a unique +set of orientational angles defined by the average of the angular location of all images falling within +its boundaries. +The location of each of these centers on S2 +are called Projection Directions (PDs), and represent an +average view of your molecule as seen from a collection of unique viewing angles. This allows the +group of images residing within the boundaries of each PD to be analyzed as sets independently +from all others. In this way, the inner conformational mechanics of the molecular machine are +isolated from the angles in which the molecular machine can be viewed in space. Naturally, as the +Angle Width increases, the total number of PDs will decrease while the number of images contained +in each of those PDs will increase. + + + +Figure 1: Distributions for RyR1 (full −ligand data set) as visualized on the Distribution tab: [A] Distribution +tab; [B] Edit Thresholds; [C] Thresholded PDs; [D] Occupancy Distribution. To note, subwindows [B], [C] and [D] +are accessed via the encircled PD Thresholding button on the main Distribution tab. If you are using the demo +data set, the available PDs will form a great circle in angular space. + +## 4.1 Orientation Navigation +Upon landing on the Distribution tab (Figure 1-A), you will see two figures that allow you to view +your molecule’s S2 +Orientation Distribution (on the left) in tandem with its corresponding +Electrostatic Potential Map (on the right). Both figures are synced such that navigating the Mayavi +camera within either figure will automatically update the view of the other. The S2 +Orientation +Distribution figure plots the occupancy of the projections mapped across S2 +, with corresponding +heatmap defining the relative spatial density of projections. You can change the density of points +shown via the S2 +Density value (e.g., 5 means that only every other 5th +image will be plotted as a +point in these coordinates). Be careful not to select more points to plot than your computer can +handle; by default, ManifoldEM chooses a very conservative value based on the size of your image +stack. The Electrostatic Potential Map is a depiction of the volume file you imported on the previous +tab. You can cycle through its contour depth via the Isosurface Level control. In the event that these +two objects are initially plotted with disproportionate scales, you can also change the relative scale +of these two figures via the S2 +Scale value. In addition, the Mayavi icon can be clicked above each +figure to open a dialog housing expansive visualization options. The most recent settings chosen for +S2 +Scale and Isosurface Level will also be applied to the equivalent figure on the Eigenvectors tab. +As you move the camera in either scene, notice that the current phi and theta value is updated in the +entries below. These are taken as the combination of Euler coordinates from which you are viewing +your objects. A guide for understanding the camera controls can be found in Appendix B of this +manual. To fully understand how your data has been tessellated, we'll need to next explore the PD +Thresholding subwindow, accessed via the corresponding button in the lower left-hand corner of +the Distribution tab. + +## 4.2 Tessellation Thresholds +There are three tabs within the Projection Direction Thresholding subwindow: Edit Thresholds +(Figure 1-B), Thresholded PDs (Figure 1-C), and Occupancy Distribution (Figure 1-D). +On the Edit Thresholds tab, the bar chart shows the number of images captured within the +boundaries of each PD for the given Angle Width, with the PD Number plotted on the x-axis: labelling +each PD based on an arbitrary assignment of integers. This window also has two parameters: Low +Threshold and High Threshold. As these values are changed, the red and green horizontal lines in the +plot will shift their vertical position respectively. If a PD has fewer images than the number specified +by the Low Threshold parameter (red line), that PD will be ignored across all future computations. +The value shown in the Number of PDs display will also be updated to reflect this change. If a PD has +more images than the number (n) specified by the High Threshold parameter, only the first n images +under this threshold will be used for that PD. To finalize new Low and High Thresholds, make sure to +click the Update Thresholds button at the bottom of this tab before exiting the subwindow. If you’re +using the demo RyR1 data set, the default low and high thresholds can be used, resulting in 53 PDs. + +The next tab over on the PD Thresholding subwindow (Thresholded PDs, Figure 1-C) shows the +number of remaining PDs after thresholding. These are plotted with polar coordinates, displaying +phi values on the perimeter-subdivisions and theta values on the radial-subdivisions. The +occupancy of each remaining PD can be seen via the colorbar on the right. The third tab (Occupancy +Distribution, Figure 1-D) displays a histogram showing the distribution of PD occupancies (the +number of images in each PD) across all PDs. The number of histogram bins can be altered via the +entry at the bottom to expand on this characterization. Using these three tools, you should be able +to make an assessment on the overall goodness of the Angle Width calculated on the Import tab (and +thus the variable Aperture Index you supplied). You want to find the optimal Aperture Index such +that the tessellation provides the most coverage across the S2 +(as seen on the Thresholded PDs tab) +while also having a sufficient number of images in each PD (as seen on the Occupancy Distribution +tab). +As this is a very qualitative assessment, we note an additional option for those still unsure. It is +possible to first perform a test-run by increasing the low threshold value such that only a handful +(5-10) PDs are selected, and then decreasing the high threshold to the average value of images seen +across all PDs. Next, proceed through the Embedding tab (as described in the next section) with this +small sample and assess the quality of your conformational motions on the Eigenvectors tab. If the +motions present are too much obscured by noise or if too few motions are present per PD, you’ll +want to consider choosing a larger Aperture Index for your data set. In contrast, choosing an +Aperture Index that is too large may result in prominent CCs exhibiting rigid body rotations of your +macromolecule across the S2 +. Once you have found the optimal Aperture Index for your needs, make +sure to create a fresh project where it is entered, while re-assessing your low and high thresholds to +instead calculate the full set of your best PDs. +If you try to move past tab 2, the GUI will provide you with a warning message. Upon choosing to +proceed, all of these previously established user-parameters will be locked in permanently for the +remainder of your project. + +## 5 Embedding Tab +Within each isolated PD, embedding techniques are applied across the collection of corresponding +images to discover the latent conformational mechanics of the molecular machine (as seen from +that PD). These steps are performed in sequence on the Embedding tab, and are laid out into four +modules: Distance Calculation, Embedding, Spectral Analysis, and Compile 2D Movies. + +## 5.1 Embedding Parameters +Before initiating the first module (via the Distance Calculation button), take note of the three entry +fields at the top of this tab: Processors, Eigenvectors, and Dimensions. + +## 5.1.1 Processors +The Processors entry dictates the number of processors (corresponding to the number of PDs) your +computer will run in parallel during the proceeding steps. The maximum number is determined by +your workstation specs. This value should be set before pressing the Distance Calculation button +below, and cannot be changed again until all processes are complete (or if the project is quit, and +then resumed). As a note, if you ever need to debug an error that occurs, always re-run with +Processors set to 1, which will enter into single-processing mode. In this mode, command line error +messages are unobstructed from multiprocessing packages, providing the best diagnosis for your +problem. If you’re encountering performance problems (slowdowns or crashes), you may want to +consider running fewer processors. + +## 5.1.2 Eigenvectors +The Eigenvectors entry is used to set the number of leading eigenvectors corresponding to the +diffusion maps embedding (discussed below), which are used in NLSA across all PDs. While a total +of 15 eigenvectors are used by default throughout all backend computations, the Eigenvectors entry +determines the number of leading eigenvectors from that set (up to a maximum of 8) for which a +NLSA will be performed. Importantly, only members from this set will be selectable as potential +conformational coordinates on the subsequent tabs, and once this decision is made, it cannot be +reversed. We recommend the maximum (8) if computational resources and time are plentiful. If +performing a test run on a subset of PDs, a much lower number (e.g., 1 to 3) is sufficient. + +## 5.1.3 Dimensions +The Dimensions value defines the number of dimensions to be used in defining the conformational +coordinates (termed Conformational Coordinates or CCs) of the energy landscape. As an important +note, this value has been restricted to 1D for the Beta release. + +With these three parameters filled, it’s time to start computing. The modules on this page can take +considerable time to compute (especially if a large number of Eigenvectors are chosen). If your +progress is interrupted at any time or if you need to exit the program, you can always resume from +where you last left off upon re-opening the GUI. + +## 5.2 Distance Calculation +The first step in the manifold embedding pipeline is the construction of the distances graph +(initiated upon clicking the Distance Calculation button), in which the similarity of each image to the +other images in each PD is calculated. + +## 5.3 Embedding +The next module (initiated via the Embedding button) uses the previous distance calculations to +create nonlinear conformational manifolds via the diffusion maps method (Coifman et al., 2006). +This embedding automatically yields orthogonal coordinates (eigenvectors) ranked according to +eigenvalue, with each coordinate assumed to describe a set of concerted changes. + +## 5.4 Spectral Analysis +To reveal the nature of changes associated with each individual coordinate after the initial +embedding, Nonlinear Laplacian Spectral Analysis (NLSA; Giannakis, 2012) is used. During the +performance of NLSA, the original cryo-EM images are concatenated along one of the leading k +eigenvectors to produce a spatial series of so-called “supervectors” (Dashti et al., 2014). Nonlinear +SVD (via NLSA) is then used to extract characteristic NLSA images (topos) and their evolutions +(chronos) from these supervectors. Each topo/chrono pair constitutes an element of a biorthogonal +decomposition of the conformational changes along the given eigenvector. Noise-reduced snapshots +can be reconstructed from the topo/chrono pairs with significant (above-noise) singular values and +embedded to obtain the manifold characteristic of the conformational changes along the selected +line. This embedding results in a new set of eigenvectors in a different space, to high accuracy +forming a 1-dimensional manifold with known eigenfunctions {cos(kπτ) | k ∈ ℤ+ +} parameterized by +a conformational parameter τ. This process enables the estimation of a density of points as a +function of τ together with an ordered sequence of 2D NLSA images. These 2D images are arranged +to form a 2D NLSA movie, designed to represent the conformational signal corresponding to the +eigenvector chosen from the initially-embedded manifold. In total, NLSA is performed for each of +the leading k eigenvectors independently, such that k 2D NLSA movies are constructed for each PD. +Supervised identification of “meaningful” conformational information (i.e., the CCs) among these k +2D NLSA movies is next required,with subsequent steps aimed at then connecting these CCs across +all PDs. Once the NLSA movies have been computed via the Compile 2D Movies module, you can +navigate to the Eigenvectors tab via the View Eigenvectors button at the bottom of the page. As an +important note, in the event that the Spectral Analysis module stalls (i.e., a relatively prolonged +period of time has elapsed since the previous file was written), counter-measures may need to be +explored. For more information, please see Appendix E for a description of bypassing stalled PDs. + +## 6 Eigenvectors Tab +You will find that the Eigenvectors tab is segmented into 4 main parts (Figure 2), these are: (A) PD +Selection; (B) PD Eigenvectors; (C) Anchor Assignment; (D) Confirm Conformational Coordinates. + + +Figure 2: Outputs of the Embedding tab for RyR1 (full −ligand data set) as visualized on the Eigenvectors tab. +For changing all volume representation settings (including isosurface levels), click the encircled Mayavi icon. +The black boxes in subsection [B] are a result of choosing only four eigenvectors on the previous tab. Also take +note of the two subdividing lines separating these regions (first between [A, B] and second between [AB, CD]), +which can be dragged with the mouse to redistribute window spacing between Eigenvectors tab subsections +as needed. + +## 6.1 PD Selection +In the figure window entitled Electrostatic Potential Map, you will find a series of colored nodes +encircling the input volume. Each node represents a unique PD from the set of all PDs obtained after +thresholding. By default, the page will open on the first PD, such that all of the initial information on +the Eigenvectors tab relates to this PD’s characteristics. The colors of these nodes signify groupings +of Connected Components: clusters of PDs that were deemed in close enough proximity to reliably +pass the information on conformational motion between them during Belief Propagation (discussed +in a later section). For example, if you have two clusters of PDs separated by a relatively large +distance in angular space (likely due to preferred orientations in experiment), two distinct colors +will be used for each cluster. + +As you change the Mayavi camera angle in this subwindow (Figure 2-A), you can move from one PD +to the next. Releasing the mouse while hovering over a new location in the subwindow will +immediately snap the view to the PD closest to your current hover position, updating the entire +Eigenvectors tab in turn to correspond to this new PD’s characteristics. You can also elect to travel +directly to a specific PD via the Projection Direction entry (which reads as: PD Number / Total +Number of PDs seen at the bottom of Figure 2-A). To be specific, whenever a new PD is visited, you +will see the following entries update to correspond to this PD’s attributes: the phi and theta values +below the figure, the Projection Direction number, the number of images in the current PD, all +anchor information, 2D Class Average graph, Eigenvalue Spectrum graph, all images within the View +Topos subsection of the Eigenvectors tab, and all graphs accessed via buttons therein. + +The figure itself will also update when either the Remove PD or Set Anchor checkboxes are selected, +turning the current node to either black or white, respectively. If the box for Remove PD is checked +for a given PD (to be done only if the information in that PD is deemed undesirable), ManifoldEM is +instructed to ignore it in all future computations. Anchor PDs play a much larger role, and will be +discussed in greater detail in the forthcoming sections. + +## 6.2 PD Eigenvectors +When viewing a PD on the Eigenvectors tab, all of its conformational information from the previous +calculations is isolated for detailed analysis. The eight windows in Figure 2-B present the deviation +of the data from the mean (Topo) along the first i eigenvectors ( Ψ1, ... ,Ψi ); with i defined via the +Eigenvectors setting on the Embedding tab . The properties of each of the PD’s eigenvectors (Ψi) can +be explored under the View Topos heading by clicking the corresponding View Ψi button underneath +that specific window. Click the View Ψ1 button (seen in Figure 2-B) to open the analysis subwindow +for the current PD’s most prominent conformational motion. Inside of each View Ψi subwindow, you +will find a number of tabs: Movie Player; 2D Embedding; 3D Embedding; Chronos; Psi Analysis; Tau +Analysis. + +## 6.2.1 Movie Player +The NLSA movie player displays the NLSA frames in sequential order from frame 1 to frame 50. +Each of these frames can be thought of as depicting an individual state, and the collection of frames +describes the conformational motion along a given eigenvector. Along with standard playback +controls, the movie can be scrubbed through via the slider at the bottom of the subwindow. + +## 6.2.2 2D Embedding +The 2D Embedding tab projects the PD’s diffusion map embedding onto a two-dimensional plane. +The first dimension is set by the currently chosen eigenvector, while the second dimension is set by +the eigenvector having the next highest eigenvalue. By clicking anywhere on this plot, a red cross +will appear. Clicking again at a different location will spawn a second red cross which is immediately +connected to the first by a gray line. This tool can be used to draw shapes in the figure, such as to +enclose outlier clusters (with each point in the cluster representing an image). Once more than two +red crosses have been added, you can close your shape by pressing the Connect Path button at the +bottom of the page. Once the shape is closed, you can elect to view an average of all of the images +within that enclosed region via the View Cluster button, or to remove the cluster entirely via the +Remove Cluster button. At any time, you can also reset the shape by pressing the Reset Plot button. +Once a cluster has been removed, you must press the Update Manifold button for changes to take +place. This operation will tell the backend algorithms to recompute the manifold analysis steps +using only those images remaining after your removal. Upon completion of the cluster removal, the +subwindow will close, signifying that all eigenvector plots for the current PD have been updated. At +any time, you can navigate back to the 2D Embedding screen and revert your changes via the Revert +Manifold button. + +## 6.2.3 3D Embedding +The 3D Embedding plot is a visualization tool for viewing the diffusion map embedding in +combinations of three coordinates. You can use the X-axis, Y-axis, and Z-axis entries at the bottom of +the screen to choose which combination of eigenvectors you’d like to use as coordinates. In addition, +you can rotate the plot in this selected 3D subspace to better understand the shape of your data. +This tool is especially useful for identifying candidate outlier clusters for removal. + +## 6.2.4 Chronos +In this window, the chronos coming from Spectral Analysis are plotted. By default, only the first two +modes are retained to extract the NLSA images. In a later version of ManifoldEM, users will be given +the option to re-embed each manifold by selecting a new combination of these modes based on +qualitative assessment. For more information on chronos, see the supplementary material in Dashti +et al. (2014). + +## 6.2.5 Psi Analysis +As mentioned in the Spectral Analysis section, after embedding the noise-reduced snapshots +(reconstructed images), the resulting 1-manifold should have a parabolic structure. If a 1-manifold +is not parabolic, the PD’s corresponding Diffusion Map may be inadequate either due to a lack of +snapshots from experiment, an unfavorable distribution of those snapshots within the +corresponding tessellated region of S2 +, or because of the presence of outliers (appearing as separate +data clouds in the Diffusion Map). In the latter case, see the 2D Embedding section on how to +re-embed the Diffusion Map to possibly recover a parabolic 1-manifold via NLSA. However, if there +are no easily identifiable divergent clusters in the Diffusion Map to remove, you may want to +consider removing the PD completely (see the forthcoming Confirm Conformational Coordinates +section for more information on this process). + +## 6.2.6 Tau Analysis +On the Tau Analysis tab, you’ll find two figures. In the left figure, every NLSA image index in the PD is +plotted in accordance with the NLSA state to which it has been assigned. The figure on the right +provides a histogram of this Tau Parameterization, showing the overall NLSA image occupancy for +each of the NLSA states. This information will eventually be propagated across all PDs for each +user-defined eigenvector. + +## 6.2.7 Eigenvalue Spectrum +Along with the data pertaining to each individual eigenvector, distributions relating to the bulk +properties of all eigenvectors in each PD can also be viewed. Click the Eigenvalue Spectrum button to +view the relative strength of the PD’s eigenvectors (each representing an orthogonal conformational +motion captured within the DM embedding). In this figure, the blue bars signify those eigenvectors +that were calculated for detailed analysis (set via the Eigenvectors entry on the Embedding tab). All +other eigenvectors will be demarcated with gray, and have black images displayed for their +corresponding analysis in the View Topos GUI subsection on the main page (see Figure 2-B). The +larger the eigenvalue (y-axis) is for each eigenvector, the more prominent the conformational +motion along that eigenvector is relative to all others. Next, click the 2D Class Average button to view +an average of all images contained within the current PD. + +## 6.2.8 Gaussian Kernel Bandwidth +Clicking the Kernel Bandwidth button will open a log-log plot of the sum of the elements of the +pairwise similarity matrix as a function of the Gaussian kernel bandwidth (ε). The linear region of +the hyperbolic tangent delineates the range of suitable epsilon values for the diffusion map +embedding. Twice the slope at the inflection point provides an estimate of the effective +dimensionality of the data (Ferguson et al., 2010). Visually, you should see a good fit to the +hyperbolic tangent, while quantitatively, this goodness-of-fit should manifest in a R2 +value close to 1. +We note that while the Gaussian kernel bandwidth is well estimated, the value for the effective +dimensionality is unreliable. However, we include it here for completeness, and have provided more +information on this discrepancy in Appendix E. + +## 6.3 Anchor Assignment +After viewing the eigenvector information (especially the 2D NLSA movies) for several different PDs +spread out across S2 +, you should start to form a good idea of the types of conformational motions +present in your data. The next step is to decide which one of these motions you would like to +compile across all PDs to ultimately produce a corresponding 1D Energy Path for that motion, along +with a NLSA Image Stack and accompanying NLSA Alignment File for use in 3D reconstruction. This +motion should preferably be both biologically relevant and also easily observable within one of the +available eigenvectors across the majority of your PDs. Eigenvectors containing this motion may +also have a relatively high eigenvalue in each PD’s Eigenvalue Spectrum, but, due to the changes in +viewing directions, this is not always the case. + +Once you have made your decision, go to the PD where this motion is the most easily identifiable. In +order to tell ManifoldEM your choice, you’ll need to use the tools within the Set PD Anchors section +at the bottom of the Eigenvectors tab (Figure 2-C). In the Conformational Coordinate 1 (CC1) entry +box, put in the number corresponding to your motion’s eigenvector within the current PD. In the +next entry (S1, for Sense 1), you have the option to choose either Forward (FWD) or Reverse (REV). +The Sense defines the directionality of your motion in each PD; you may have noticed that in some +PDs, your motion is playing in reverse with respect to movies of that same motion in other PDs. For +the first anchor, this choice is arbitrary and completely up to you. However, in each subsequent +anchor you may choose, the Sense of its 2D NLSA movie must be consistently defined relative to all +others. Once you have filled in these options for your first PD anchor, click the Set Anchor checkbox +(Figure 2-C). You’ll notice that the node representing your current PD in the figure above will update +its color to white to signify this change. + +In theory, you can hand-select every PD in this way, being careful to choose the correct eigenvector +number and sense for your conformational motion in each PD until every node on your figure is +colored white. We’ve even included a feature for aiding in such a task (within the Compare Movies +subwindow) where you can directly compare any two NLSA movies side-by-side while altering +these parameters as you see fit. However, in practice, such a workflow requires painstaking +attention to detail and tremendous time, while also being significantly prone to human error +(especially when dealing with hundreds or thousands of PDs). +Instead, we’ve attempted to optimize this procedure through a combination of Optical Flow and +Belief Propagation (discussed in more detail within a later section) that approximately follow the +same human-performed algorithm proposed above (Maji et al., 2020). For this automation strategy +to work, only a handful of PDs are required in total. Importantly, we require a minimum of one +anchor per Connected Component, but the more that can be accurately defined, the better. To be +clear, you must make sure that the eigenvectors chosen as anchors are those of highest user +certainty, since placing an erroneous anchor into these algorithms will most likely produce chaotic +results. + +If using the demo RyR1 dataset, however, it could be a helpful exercise to pick the 53 PDs present +therein by hand. Since there are only a few dozen PDs to consider, this exercise should take about 20 +minutes, while also reinforcing an understanding of essential concepts for new users seeking +training. There are also a few PDs that should be removed. The following provides the decision +process needed to assign one such anchor when using the RyR1 data set: +“Starting at a highly informative PD for the first anchor (where all motions are present and easily +identifiable across all eigenvectors), which of its eigenvectors (1-8) represents the readily-identifiable +‘wing’ motion of RyR1; and is this motion playing (arbitrarily) FWD or REV within that eigenvector (as +seen in the 2D NLSA movie)? Next, is there another (preferably distant) PD where this same motion can +also be easily identified across its set of eigenvectors, and is its NLSA movie playing FWD or REV with +respect to the arbitrary Sense-assignment of the first anchor chosen?” + +Our general workflow for assigning these anchors is to first check on the PDs with the highest +occupancy via the PD Occupancies button within the PD Selections subsection on the Eigenvectors +tab (Figure 2-D). For the RyR1 demo, search for the first PD in the ranked PD Occupancies list that +offers a good side view of RyR1, and determine if there is a 2D NLSA movie showing the wings +moving up/down with an accompanying “smooth” parabola in Psi Analysis. If there is more than one +option showing this motion, pick the leading eigenvector. Next, arbitrarily define the directionality +of motion (sense) as FWD; reserving REV for 2D NLSA movies playing in the opposite direction. +After setting this anchor information in the Set PD Anchors panel on the main Eigenvectors tab, it is +ideal to next increase S2 +coverage by sporadically labelling a collection of spread out PDs with +anchor information. However, this should only be done for PDs where user confidence of +eigenvector/sense for the given CC is highest. If using the RyR1 demo data set with the suggested +parameters, you will see that the PD nodes are grouped into two clusters (Connected Components) +on S2 +, with the nodes from each cluster visualized by red or blue coloring, respectively. When +numerous connected components exist, at least one PD anchor must be defined in each cluster so +that Belief Propagation can connect the conformational information across large empty regions on +S2 +. For the demo data set, we recommend defining three spatially-separated PD anchors in each +connected component corresponding to the RyR1 wing-like motion. As a final note, during this +assessment, it is highly recommended that users remove PD nodes that provide no meaningful +conformational information. For the demo RyR1 data set, we identified and marked 7 PDs for +removal using the GUI interface. + +## 6.4 Confirm Conformational Coordinates +Once a sufficient number of PD anchors have been chosen, a list of all user PD selections can be +accessed via the PD Selections button within the Confirm Conformational Coordinates subsection at +the bottom of the Eigenvector tab (Figure 2-D) . In this subwindow, there are two tabs: PD Editor and +PD Viewer. +The PD Editor tab allows you to view tables of all of your assignments for PD anchors and removals, +as well as reset your current selections of each class independently. Moreover, this tab provides a +way to save the currently selected PD Anchors and PD Removals as individual lists and load them +back in whenever needed. It is important to note that these selections are automatically saved upon +reaching the Compilation tab, but if you need to exit the program for any reason before all intended +anchors have been chosen (and thus before pressing Compile Results), it is essential that you save +your selections via these options. Finally, you can also view a sorted list of all PD occupancies as +well as a list of PDs which have undergone manifold re-embedding (as described in the 2D +Embedding section above). + +## The PD Editor tab provides a polar-coordinate plot of all PDs according to their current user-defined +class. PD anchors are shown as gray diamonds and PD removals as black ⨉ marks. All other PDs that +are to-be-determined (TBD) by automation are displayed as colored dots corresponding to their +Connected Component grouping. Once you are satisfied with your choice of PD anchors, removals +and re-embeddings, click the Compile Results button at the bottom of the Eigenvectors tab to +proceed. + +## 7 Compilation Tab +You’ll arrive next on the Compilation tab, where the conformational information from each +individual PD is stitched together into one global identity. Much like the Embedding tab, you’ll find a +row of user-defined parameters at the top of the window (Processors, Temperature and Export +Optical Flow) as well as a set of modules (Find Conformational Coordinates and Energy Landscape) +for initiating the corresponding backend algorithms and gauging their progress. + +## 7.1 Compilation Parameters +## 7.1.1 Processors +The Processors entry dictates the number of processors your computer will run in parallel during +the proceeding steps. It will mirror the number set on the Embedding tab, but can be altered here as +needed before proceeding with the final outputs. + +## 7.1.2 Temperature +The value set in the Temperature entry should correspond to the pre-quenching temperature of the +experiment immediately prior to rapid freezing. Specifically, it will be used in the Boltzmann +relationship to convert image occupancies into energies. + +## 7.1.3 Export Optical Flow +This parameter is completely optional, and if turned on, will export additional images of optical flow +vectors to file during computation of the chosen conformational coordinate (Figure 3). As an +important note, turning this option on will significantly increase computation time, and should only +be used for investigating the underlying behavior of these outputs. + + +Figure 3: Example output file of flow vectors from a single PD when Export Optical Flow is enabled. Image +motion is expressed by the direction of the vectors, while the magnitude of the motions are expressed by the +relative color of each vector (with red denoting the maximum magnitude of motion in the NLSA movie). The +circular background region surrounding RyR1 was removed from computation via use of a spherical Mask +Volume. + +## 7.2 Find Conformational Coordinates +Once you have filled in the appropriate values for the parameters at the top of the Compilation tab, +click the Find Conformational Coordinates button to initiate Optical Flow and Belief Propagation +across your entire data set. These two procedures aim to select the correct eigenvector/sense +combination for the user-defined conformational motion across all PDs. To achieve this, Optical +Flow is first used to define the most prominent visual motions in the 2D NLSA movies in terms of +feature vectors (based on a histogram of oriented gradients), which are calculated for every +eigenvector/sense combination across all PDs. Next, the set of all feature vectors in each PD is +compared to the set of all feature vectors in its immediate neighbors on the S2 +. +Belief Propagation assesses the affinity between all pairwise-combinations of feature vectors +between all neighboring PDs, ultimately giving each comparison a likelihood score for how well it +conserves the intended conformational motion (defined by the PD anchors). These probabilities are +propagated across the network of PDs until uncertainty is minimized on the global scale. After this +process has been completed, you can check these eigenvector/sense assignments within the output +file located at: outputs_/CC/comp_psi_sense_nodes.txt, and compare the +fidelity of each PD’s assignment with the motions you see in the respective movie on the +Eigenvectors tab. + +The ManifoldEM Python suite also includes a feature to automatically find erroneous PDs by +analysis of τ statistics. In certain situations, we have found that certain 2D NLSA outputs do not +converge depending on the images contained in a particular PD, and therefore generate 2D NLSA +movies that are “bad” (i.e., very noisy, jittery or almost completely static). This is also reflected as a +relatively discrete, narrow τ-value distribution for such movies. Our automation strategy uses the +interquartile range (IQR) to characterize the dispersion of the τ histograms for all movies across all +PDs. From the distribution of all IQR values, we automatically determine the cutoff IQR value which +separates relatively well spread-out histograms from the narrow ones. When all of the movies for a +given PD are below that IQR cutoff value, we automatically remove the PD from interfering with +belief propagation and obstructing final outputs. + +## 7.3 Energy Landscape +Within the Energy Landscape module, for each PD’s chosen eigenvector, its corresponding τ +parameterization is subdivided into 50 uniformly spaced bins (each representing a unique NLSA +state), with the number of snapshots falling within each bin tallied towards its state’s occupancy (as +is visualized in the right-hand side figure under Tau Analysis). +In thermal equilibrium, we attribute differences in occupancy to differences in the molecules’ free +energy via the Boltzmann factor ΔG/kB T = -ln(ns /n0), where ns is the number of snapshots in the +current state and n0 is the occupancy of the maximum-occupancy state in the state space (Fischer et +al., 2010; Agirrezabala et al., 2012). The lowest observable occupancy in the ensemble represented +by the dataset, of one particle in a state, defines the highest measured free energy while the highest +observable occupancy defines the lowest measured free energy. The Boltzmann constant kB is a +physical constant that relates the average relative free energy of particles to their bulk temperature. +(Please see the Compilation Parameters section for information on the temperature, T). The free +energy of a state in this landscape is a thermodynamic quantity equivalent to the capacity of a +system to do work. Finally, this occupancy/energy information is integrated across the chosen +eigenvectors of all PDs, with the ordering of states within each defined via its Sense. +When only one degree of freedom is desired (or available), the NLSA occupancies and images +corresponding to the same CC content in different PD manifolds can be further compiled across S2 +to +construct a 1D energy path and a set of corresponding reconstructed volumes. Although not +available in this Beta release, the NLSA procedure is more complicated when two degrees of +freedom are desired. For completeness, we note that after identification of two CCs, their respective +eigenvectors for the current PD manifold are used to isolate a 2D subspace therein. On this {CC1, +CC2} subspace, NLSA is performed independently along the directions of 180 uniformly-spaced +radial lines in the range θ ∈ [0, π]. This yields a collection of point densities (i.e., 1D occupancy +maps) n(τ,θ) for each θ. The collection of these 1D maps for all θ constitutes the 2D Radon transform +of a yet unknown 2D density map (i.e., the desired 2D occupancy map). An inverse Radon transform +is then applied to reconstruct the 2D density map. In addition, NLSA also retrieves the +noise-reduced images at each point in this map. As in the 1D case, this procedure must next be +performed for the eigenvector pairs corresponding to {CC1, CC2} in all other PD embeddings, from +which noise-reduced volumes can be reconstructed to form 3D movies of concerted conformational +motions. + +## 7.4 Recompile Results +At any time after running Find Conformational Coordinates or Energy Landscape on the Compilation +tab, you are given the option to recompile this information. This can be done via the Recompile +Results button on the Eigenvectors tab (which was previously labelled Compile Results on the first +run). Subsequent results will only change if you wish to change your previously assigned PD +Anchors, PD Removals, Dimensions value (currently disabled in the Beta), or the Temperature value. + +## 8 Energetics Tab +## 8.1 Energetics +The Energetics tab provides a visualization of the resulting energy landscape (i.e., 1D Energy Path, +for the Beta release) as integrated across all PDs, with the dimensionality d defined via the number +of chosen conformational coordinates (d=1 in this Beta release). Using the View Distribution button, +you can switch views between the 1D Occupancy Map and 1D Energy Path, showing the difference +between the initial occupancies across all PDs and the resulting transformation via the Boltzmann +factor. + +In the 1D Energy Path representation, energetic wells represent the most energetically favorable +conformations along your chosen conformational coordinate. Likewise, energetic peaks represent +thermodynamically improbable states which constrain transitions between neighboring wells. +Given this context, if your energetics look biologically unnatural (completely flat as one example), +you may want to recheck your anchor assignments on the Eigenvectors tab, with the possibility of +redoing these calculations via the previously discussed Recompile Results button. +Before computing your 3D trajectory files along this conformational coordinate, you can change +how the states will be combined along the given trajectory via the Path Width option. The default +value (1) will result in 50 output image stacks, where each stack combines information only from +projections belonging to the state it corresponds to (one stack per state). As this value is increased, +a sliding window is introduced along the trajectory such that additional information from +neighboring states is included when building each of the 50 image stacks. For example, choosing 3 +for the Path Width will tell each image stack {1, … , 50} to include its own images along with those +from its immediate neighbors; i.e., three microstates in total for each macrostate. + +While not available in the Beta release, we provide here a glimpse of the 2D functionality of the +Python ManifoldEM GUI, which is a work in progress. As is planned, depending on the previous +choice of dimensionality, plots on the Energetics tab will be either 1D or 2D. In the case of 2D, the +user will be presented with a subsequent choice to define a path through the 2D energy landscape +(Figure 4). Using this interface, points can be added onto this 2D plot to form a custom path, with +corresponding integrated energy recorded. Alternatively, the user can elect to export this energy +landscape for analysis with external pathfinding programs – such as POLARIS (Seitz and Frank, +2020) – to potentially define a minimum-energy path of presumed biological significance. These +trajectories can then be imported into the ManifoldEM GUI for use in its final computations. After a +suitable path has been defined (if applicable), ManifoldEM will combine the NLSA movies from all +states and PDs along that path into corresponding image stacks and alignment files. Post-processing +modules, which are located external to the GUI in the ManifoldEM main folder hierarchy, can then be +run to use the projections in these image stacks to reconstruct NLSA volumes. The final result of this +framework is a sequence of successive 3D reconstructions along the chosen path, forming a 3D +movie. In the case of the 1D Energy Path, this sequence demonstrates the conformational changes +along a single CC. + + +Figure 4: 2D Energy Landscape tab showing outputs from the Ribosomal data set (Dashti et al., 2014), as +viewed in Mac OS. A set of user-defined coordinates have been handpicked to form a path through the +low-energy valley. This path can be used to generate the set of assets required to produce a final sequence of +NLSA volumes. Alternatively, the path of least action can be imported (as generated via external programs; +e.g., POLARIS) and similarly used. + +## 8.2 3D Trajectories +Once you have selected a suitable path width, press the Compute 3D Trajectories button. During this +process, the images from all states across all PDs are combined into 50 image stacks and alignment +files, such that there is one image stack and corresponding alignment file for each state along your +trajectory. Each image stack {1, … , 50} contains all of the particles across S2 +that fall within its +corresponding bin (state), with the angular information and microscopy parameters of each image +written into that stack’s alignment file. + +## 9 Post-processing +After viewing the energy landscape (or energy path, for 1D) and computing 3D trajectories, a +collection of image stacks (.mrcs) and corresponding alignment files (.star) will be exported into +your outputs_/bin directory. Each pairing in this collection coincides with one of +the 50 conformational states for your chosen motion, with each state containing information from +every PD across S2. + +## 9.1 Volume Reconstruction +With these files generated, an external algorithm (RELION) can next be used to reconstruct 50 +volumes from this collection, representing a 3D movie displaying the chosen conformational +motion. First, if you haven’t yet installed RELION, do so now via the instructions in Appendix A. +Once installed, navigate to the outputs_/post/1_vol directory in the CLI, and +run the batch-reconstruction script there via: sh mrcs2mrc.sh. + +## 9.2 Noise Reduction +After your 50 volume files have been produced via RELION’s reconstruction algorithm (as described +in the previous section), you can elect to clean them via our external (to the GUI) post-processing +scripts. + +The first choice is via Singular Value Decomposition (SVD). The corresponding scripts are designed +to decompose your volume sequence into a series of modes, and eliminate noise by removing modes +below a singular value threshold. These two SVD scripts can be found in the +outputs_/post/2_svd directory and include mrc2svd.sh and mrc2svd.py. You +can run both scripts at once by navigating to the above folder in the CLI (making sure the +ManifoldEM Anaconda environment is also activated) and inputting the command: sh mrc2svd.sh. +(To note, for volume files with large box sizes, these computations may take considerable time; e.g., +hours). By default, the first and second eigenvector will be chosen as significant, and retained. +During this initial run, a figure entitled mrc2svd.png will be saved, showing the eigenvalue +spectrum for your data. After examining this plot, you can choose to rerun this procedure while +retaining a different set of user-defined eigenvectors by first changing the Topo_list variable +located at the top of mrc2svd.py, followed by again inputting the command sh mrc2svd.sh. +The second choice for noise reduction is via the mrc2denoise.py script, where either a Gaussian or +median filter can be applied to each volume. As well, the window size of the filter and range of states +on which the filter is applied can also be altered using the overhead parameters. + +## 10 Citing Us and Asking Questions +If ManifoldEM is useful in your work, please cite Dashti et al. (2014) and this ManifoldEM Python +repository. If you have any questions about ManifoldEM after reading this entire document, carefully check the +ManifoldEM GitHub forum for similar inquiries or, if no similar posts exist, create a new thread +detailing your inquiry. As well, if you find any errors while reading this document, please let us +know.