Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA 02115, USA.
Cleveland Clinic Martin Health Center for Clinical Research, Stuart, FL 34994, USA.
Cancer Cell. 2021 Aug 9;39(8):1053-1055. doi: 10.1016/j.ccell.2021.07.014.
Recently published in Science, AstroPath outlines a standardized workflow for multiplex immunofluorescence (mIF) panel development, imaging, and analysis; showcases its potential in biomarker discovery for predicting response to anti-PD-1 treatment; and paves the way for large-scale computational pathology studies on high-quality mIF datasets using data-driven machine-learning techniques.
最近发表在《科学》杂志上的 AstroPath 概述了一种用于多重免疫荧光 (mIF) 面板开发、成像和分析的标准化工作流程；展示了其在预测抗 PD-1 治疗反应的生物标志物发现方面的潜力；并为使用数据驱动的机器学习技术对高质量 mIF 数据集进行大规模计算病理学研究铺平了道路。
