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copick
/
generate-skimage-features
/ 0.0.1
Generate Multiscale Basic Features with Scikit-Image
Compute multiscale basic features of a mrc or zarr tomogram and save them in a Zarr.
Tags
imaging
cryoet
Python
Citation
CellCanvas + copick team.
https://cellcanvas.org
Solution written by
Kyle Harrington
License of solution
MIT
Source Code
View on GitHub
Arguments
--inputfile
Path to the input MRC file or zarr path containing the tomogram (default value: PARAMETER_VALUE)
--outputdirectory
Path for the output directory to save the Zarr file (default value: PARAMETER_VALUE)
--intensity
Include intensity features (default value: 1)
--edges
Include edge features (default value: 1)
--texture
Include texture features (default value: 1)
--sigma_min
Minimum sigma for Gaussian blurring (default value: 0.5)
--sigma_max
Maximum sigma for Gaussian blurring (default value: 16.0)
Usage instructions
Please follow
this link
for details on how to install and run this solution.