AccessPath: A Low-Cost, Rugged, End-to-End System for Slide-Free Pathology Based on Computational Microscopy and Pan-Cancer Targeted Vital Dyes
Rice University will build a novel microscope that images tumor slices with ultraviolet epifluorescence. They will use advanced methods to create fluorescent stains that label cells and cellular components and will develop automated AI algorithms to transform their images into ones that look similar to conventional pathology. They will also develop an automated pathology algorithm to classify the imaged cells.