Micrograph_automatic_picking_v3

!xmipp_micrograph_automatic_picking (v3.0)

Usage

Automatic particle picking for micrographs The algorithm is designed to learn the particles from the user, as well as from its own errors. The algorithm is fully described in this paper.

Parameters

$: Micrograph image $: Output rootname $``: Operation mode where <mode> can be:

• • $: Bayesian model of the particles to pick $: Particle size in pixels $--thr <p1> $: Perform a fast preprocessing of the micrograph (Fourier filter instead of Wavelet filter) $: Read the micrograph in memory

Examples and notes

Automatically select particles during training:

xmipp_micrograph_automatic_picking -i micrograph.tif --particleSize 100 --model model --thr 4 --outputRoot micrograph --mode try

Training:

xmipp_micrograph_automatic_picking -i micrograph.tif --particleSize 100 --model model --thr 4 --outputRoot micrograph --mode train manual.pos

Automatically select particles after training:

xmipp_micrograph_automatic_picking -i micrograph.tif --particleSize 100 --model model --thr 4 --outputRoot micrograph --mode autoselect

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