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Cancer Research
Cancer Research
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工业化、人工智能引导的激光显微切割,用于肿瘤微环境的微尺度蛋白质组学分析
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Article
DOI:
10.3791/64171-v
•
13:01 min
•
June 3rd, 2022
工业化、人工智能引导的激光显微切割,用于肿瘤微环境的微尺度蛋白质组学分析
June 3rd, 2022
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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
* These authors contributed equally
Chapters
Summary
Please note that all translations are automatically generated.
Click here for the English version.
该协议描述了一种高通量工作流程,用于人工智能驱动的从染色的薄组织切片图像中分割病理确认感兴趣的区域,以使用激光显微切割富集组织学分辨细胞群。该策略包括一种新颖的算法,能够将表示感兴趣细胞群的分界线直接转移到激光显微镜上。