Extended Data Fig. 2
From: Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer
a: Procedure of the TMA generation for the TUM–CCC-EMN cohort. For the Erlangen Cohort three cores from the invasive margin and three cores form the tumor center were used. For the Munich cohort, one core from the invasive margin and one core from the tumor center was used. b: Procedure of the TMA generation for the Mainz cohort. Three TMA cores were taken according to the ratio of invasive margin to tumor center. c, d: Further preprocessing included serial sectioning, immunohistochemistry, and preprocessing of the TMA cores and the tiles. Scale bars on the left subpanel represent ca. 200 µm. Scale bars on the right represent ca. 100 µm. e: Examples of excluded cores. Scale bars represent ca. 200 µm. (TMA: Tissue microarray, NAT: Normal adjacent tissue (not used in this study)). Some illustrations were generated with BioRender.com.
