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copick
/
picks-from-segmentation
/ 0.0.21
Extract Centroids from Multilabel Segmentation
A solution that extracts centroids from a multilabel segmentation using Copick and saves them as candidate picks.
Tags
imaging
cryoet
Python
napari
Solution written by
Kyle Harrington
License of solution
MIT
Source Code
View on GitHub
Arguments
--copick_config_path
Path to the Copick configuration JSON file. (default value: PARAMETER_VALUE)
--painting_segmentation_name
Name of the painting segmentation. (default value: PARAMETER_VALUE)
--session_id
Session ID for the segmentation. (default value: PARAMETER_VALUE)
--user_id
User ID for segmentation creation. (default value: PARAMETER_VALUE)
--voxel_spacing
Voxel spacing used to scale pick locations. (default value: PARAMETER_VALUE)
--run_name
Name of the Copick run to process. (default value: PARAMETER_VALUE)
--segmentation_dir
Directory containing the multilabel segmentation. (default value: PARAMETER_VALUE)
--min_particle_size
Minimum size threshold for particles. (default value: 1000)
--max_particle_size
Maximum size threshold for particles. (default value: 50000)
--maxima_filter_size
Size for the maximum detection filter (default 9). (default value: 9)
--segmentation_idx_offset
Offset for segmentation indices (default 0). (default value: 0)
--labels_to_process
Comma-separated list of labels to process. (default value: PARAMETER_VALUE)
Usage instructions
Please follow
this link
for details on how to install and run this solution.