1. A computing device configured to segment and/or rank nuclei in one or more images of a biological sample, the computing device comprising one or more processors and at least one memory, the at least one memory storing non-transitory computer-readable instructions for execution by the one or more processors to cause the one or more processors to execute instructions to: (1) compute a mask based on a first image input; (2) identify individual nuclei by filtering the first image with the computed mask; (3) compute metrics for all identified nuclei based on first signals in the nuclei corresponding to a first marker and second signals in the nuclei corresponding to a second marker, wherein the metrics comprise an average absorbance metric and an average A channel metric; and (4) determine nuclei suitable for ranking based on the computed metrics, wherein nuclei determined suitable for ranking have at least one first signal, at least one second signal, and meet a predetermined area constraint.
