Color deconvolution involves the use of mathematical algorithms to separate the combined color signals into their individual components. The process typically starts with an image of the stained tissue sample, which is then analyzed to identify the specific color vectors associated with each stain. These vectors are used to create a deconvolution matrix, which can then be applied to the image to isolate the individual color channels. The result is a set of images where each image represents one of the original stains.
