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{ | ||
"name": "voluseg", | ||
"description": "Voluseg processors", | ||
"processors": [ | ||
{ | ||
"name": "voluseg_processor", | ||
"description": "Run Voluseg for volumetric segmentation.", | ||
"label": "voluseg_processor", | ||
"image": "catalystneuro/dendro-voluseg:0.1.0", | ||
"executable": "/app/main.py", | ||
"inputs": [ | ||
{ | ||
"name": "input", | ||
"description": "Input NWB file in .nwb or .nwb.lindi.tar format" | ||
} | ||
], | ||
"outputs": [ | ||
{ | ||
"name": "output", | ||
"description": "Output embedding in .lindi.tar format" | ||
} | ||
], | ||
"parameters": [ | ||
{ | ||
"name": "detrending", | ||
"type": "str", | ||
"description": "Type of detrending: 'standard', 'robust', or 'none'", | ||
"defaultValue": "standard", | ||
"options": [ | ||
"standard", | ||
"robust", | ||
"none" | ||
] | ||
}, | ||
{ | ||
"name": "registration", | ||
"type": "str", | ||
"description": "Quality of registration: 'high', 'medium', 'low' or 'none'", | ||
"defaultValue": "medium", | ||
"options": [ | ||
"high", | ||
"medium", | ||
"low", | ||
"none" | ||
] | ||
}, | ||
{ | ||
"name": "registration_restrict", | ||
"type": "str", | ||
"description": "Restrict registration (e.g. 1x1x1x1x1x1x0x0x0x1x1x0)", | ||
"defaultValue": "" | ||
}, | ||
{ | ||
"name": "diam_cell", | ||
"type": "float", | ||
"description": "Cell diameter in microns", | ||
"defaultValue": 6.0 | ||
}, | ||
{ | ||
"name": "ds", | ||
"type": "int", | ||
"description": "Spatial coarse-graining in x-y dimension", | ||
"defaultValue": 2 | ||
}, | ||
{ | ||
"name": "planes_pad", | ||
"type": "int", | ||
"description": "Number of planes to pad the volume with for robust registration", | ||
"defaultValue": 0 | ||
}, | ||
{ | ||
"name": "planes_packed", | ||
"type": "bool", | ||
"description": "Packed planes in each volume (for single plane imaging with packed planes)", | ||
"defaultValue": false | ||
}, | ||
{ | ||
"name": "parallel_clean", | ||
"type": "bool", | ||
"description": "Parallelization of final cleaning (True is fast but memory intensive)", | ||
"defaultValue": true | ||
}, | ||
{ | ||
"name": "parallel_volume", | ||
"type": "bool", | ||
"description": "Parallelization of mean-volume computation (True is fast but memory intensive)", | ||
"defaultValue": true | ||
}, | ||
{ | ||
"name": "save_volume", | ||
"type": "bool", | ||
"description": "Save registered volumes after segmentation (True keeps a copy of the volumes)", | ||
"defaultValue": false | ||
}, | ||
{ | ||
"name": "type_timepoints", | ||
"type": "str", | ||
"description": "Type of timepoints to use for cell detection: 'dff', 'periodic' or 'custom'", | ||
"defaultValue": "dff", | ||
"options": [ | ||
"dff", | ||
"periodic", | ||
"custom" | ||
] | ||
}, | ||
{ | ||
"name": "type_mask", | ||
"type": "str", | ||
"description": "Type of volume averaging for mask: 'mean', 'geomean' or 'max'", | ||
"defaultValue": "geomean", | ||
"options": [ | ||
"mean", | ||
"geomean", | ||
"max" | ||
] | ||
}, | ||
{ | ||
"name": "timepoints", | ||
"type": "int", | ||
"description": "Number ('dff', 'periodic') or vector ('custom') of timepoints for segmentation", | ||
"defaultValue": 1000 | ||
}, | ||
{ | ||
"name": "f_hipass", | ||
"type": "float", | ||
"description": "Frequency (Hz) for high-pass filtering of cell timeseries", | ||
"defaultValue": 0 | ||
}, | ||
{ | ||
"name": "f_volume", | ||
"type": "float", | ||
"description": "Imaging frequency in Hz", | ||
"defaultValue": 2.0 | ||
}, | ||
{ | ||
"name": "n_cells_block", | ||
"type": "int", | ||
"description": "Number of cells in a block. Small number is fast but can lead to blocky output", | ||
"defaultValue": 316 | ||
}, | ||
{ | ||
"name": "n_colors", | ||
"type": "int", | ||
"description": "Number of brain colors (2 in two-color volumes)", | ||
"defaultValue": 1 | ||
}, | ||
{ | ||
"name": "res_x", | ||
"type": "float", | ||
"description": "X resolution in microns", | ||
"defaultValue": 0.40625 | ||
}, | ||
{ | ||
"name": "res_y", | ||
"type": "float", | ||
"description": "Y resolution in microns", | ||
"defaultValue": 0.40625 | ||
}, | ||
{ | ||
"name": "res_z", | ||
"type": "float", | ||
"description": "Z resolution in microns", | ||
"defaultValue": 5.0 | ||
}, | ||
{ | ||
"name": "t_baseline", | ||
"type": "int", | ||
"description": "Interval for baseline calculation in seconds", | ||
"defaultValue": 300 | ||
}, | ||
{ | ||
"name": "t_section", | ||
"type": "float", | ||
"description": "Exposure time in seconds for slice acquisition", | ||
"defaultValue": 0.01 | ||
}, | ||
{ | ||
"name": "thr_mask", | ||
"type": "float", | ||
"description": "Threshold for volume mask: 0 < thr <= 1 (probability) or thr > 1 (intensity)", | ||
"defaultValue": 0.5 | ||
}, | ||
{ | ||
"name": "ext", | ||
"type": "str", | ||
"description": "File extension", | ||
"defaultValue": ".nwb" | ||
}, | ||
{ | ||
"name": "dim_order", | ||
"type": "str", | ||
"description": "Dimensions order. Examples: 'zyx', 'xyz'", | ||
"defaultValue": "xyz" | ||
}, | ||
{ | ||
"name": "remote", | ||
"type": "bool", | ||
"description": "Remote file", | ||
"defaultValue": true | ||
}, | ||
{ | ||
"name": "output_to_nwb", | ||
"type": "bool", | ||
"description": "Save results to a new NWB file", | ||
"defaultValue": true | ||
} | ||
], | ||
"attributes": [] | ||
} | ||
] | ||
} |