Myoquant

Latest version: v0.3.1

Safety actively analyzes 622344 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

0.2.2

Fix SDH URL Lib

0.2.1

* Clearer CLI stdout and progress

0.2.0

New options for the analysis:
`--mask-path FILE`: The path to a binary mask to hide slide region during analysis. It needs to be of the same resolution as input image and only pixel marked as 1 will be analyzed. (Basically a simple .tif image with 0/1, with 0 being pixels ignored during the analysis and 1 pixels kept for the analysis)
`--export-map / --no-export-map`: Export the original image with cells painted by classification label. [default: export-map]. (A file [IMAGE_NAME]_label_blend.tiff is generated at the end of the analysis where the original image is blended with the green/red label map for visualisation of all fibers classification)
`--export-stats / --no-export-stats`: Export per fiber and per nuclei stat table. [default: export-stats]. ( A file [IMAGE_NAME]_cell_details.csv is generated that contains informations about all cell detected (area, coordinates...) and the number of nuclei (intern+periph) as columns. + A file [IMAGE_NAME]_nuc_details.csv is generated that contains informations about all analyzed nuclei (with the correspond fiber ID and the nuclei eccentricity score and class)
`--fluo-nuc FILE`: The path to single channel fluo image for nuclei. (An option to indicate the single channel image for the DAPI, so we can blend tritC and DAPI together and it also indicated that the analysis is done on single channel images)

0.1.7

Fix HE-analysis threshold param not taken into consideration

0.1.6

* Fixing a bug in he-analysis: the program was crashing when a nucleus was located at the exact coordinate of the fiber center (division by 0 error)

0.1.3

First working release of MyoQuant command line tool featuring working SDH and HE analysis.

Links

Releases

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.