Multiplex Tissue Analysis

Problem: While H&E is the most common modality for studying tissue samples, an increasing number of multiplex options are becoming available. Multiplexing enables the study of multiple markers simultaneously. However, deep learning on multiplex imagery has not been studied nearly as much as H&E.

Solution: This project involved developing a strategy for applying deep learning to multiplex images of cancer and involved research into segmenting and classifying cells and tissue.