Uniformed Services University and Walter Reed National Military Medical Center 1 article published in JoVE Cancer Research Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment Dave Mitchell*1,2, Allison L. Hunt*1,4, Kelly A. Conrads1,2, Brian L. Hood1,2, Sasha C. Makohon-Moore1,2, Christine Rojas1, G. Larry Maxwell1,3,4, Nicholas W. Bateman1,2,3, Thomas P. Conrads1,3,4 1Women’s Health Integrated Research Center, Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, 2The Henry M. Jackson Foundation for the Advancement of Military Medicine, 3The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University, 4Women’s Health Integrated Research Center, Inova Women’s Service Line, Inova Health System This protocol describes a high-throughput workflow for artificial intelligence-driven segmentation of pathology-confirmed regions of interest from stained, thin tissue section images for enrichment of histology-resolved cell populations using laser microdissection. This strategy includes a novel algorithm enabling the transfer of demarcations denoting cell populations of interest directly to laser microscopes.
