Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs projection, illumination correction, image segmentation and masking, and feature extraction.
Cells often only occupy a small fraction of the total width and height of the image. Cropping the cells to the bounding box around the mask can reduce memory consumption and computational cost when computing features.
Cells often only occupy a small fraction of the total width and height of the image. Cropping the cells to the bounding box around the mask can reduce memory consumption and computational cost when computing features.