The software is intended to count pixels in multiple z-stacks of images. It is the companion analysis software for the high-content assay described in Murali et al., BMC Cancer, 2019, previously made available as a preprint.
Usage:
python process_images.py <FOLDER> <OUTPUT_FOLDER> <CHN1> <CHN2>...
where CHN1, CHN2, etc are the names of the channels.
Example:
python process_images.py DMSO output Nuc Apop EtHd
Inside the folder, the images should be organized as:
xy<XY_COORD>z<Z_COORD>c<CHANNEL_ID>.tif
Example:
xy01z001c1.tif
When running the usage example with the example image names, c1
gets mapped to the name Nuc
, c2
gets mapped to Apop
, and c3
to EtHd
. The result files will be formatted appropriately.