Color deconvolution is a computational technique used in histology to separate the different color components of a stained tissue sample. This process is essential for accurately analyzing and quantifying the presence of various biological structures and substances within a tissue section. By isolating the colors associated with specific stains, researchers can gain clearer insights into the histological features of the sample.