Micrograph_automatic_picking_v3
Adrian Quintana edited this page Dec 11, 2017
·
1 revision
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 <p
1> $: Perform a fast preprocessing of the micrograph (Fourier filter instead of Wavelet filter) $
: Read the micrograph in memory
Automatically select particles during training:
xmipp_micrograph_automatic_picking -i micrograph.tif --particleSize 100 --model model --thr 4 --outputRoot micrograph --mode tryTraining:
xmipp_micrograph_automatic_picking -i micrograph.tif --particleSize 100 --model model --thr 4 --outputRoot micrograph --mode train manual.posAutomatically select particles after training:
xmipp_micrograph_automatic_picking -i micrograph.tif --particleSize 100 --model model --thr 4 --outputRoot micrograph --mode autoselect