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.
To avoid working with very small floats in the feature extraction phase, we want to rescale the pixel values to the [0-1] range. This can be achieved with a simple min-max normalization. Potentially, we can use quantile quantile normalization where instead of min and max we use the 5th and 95th quantile.
To avoid working with very small floats in the feature extraction phase, we want to rescale the pixel values to the [0-1] range. This can be achieved with a simple min-max normalization. Potentially, we can use quantile quantile normalization where instead of min and max we use the 5th and 95th quantile.