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Cancer Research

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JoVE Journal Cancer Research
Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
 

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Article DOI: 10.3791/64171-v • 13:01 min • June 3rd, 2022
June 3rd, 2022 •
*1,2, *1,4, 1,2, 1,2, 1,2, 1, 1,3,4, 1,2,3, 1,3,4
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
* These authors contributed equally

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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.

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Keywords: AI-driven Image Analysis Tissue Segmentation Laser Microdissection Proteomic Analysis Tumor Microenvironment Pathomics Calibration Fiducials PEN Membrane Image Analysis Software Annotations Partitioning Tiled Annotations Python Dapa Algorithm
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