Deep learning-based approach to the characterization and quantification of histopathology in mouse models of colitis.

ABSTRACT: Inflammatory bowel disease (IBD) is a chronic immune-mediated disease of the gastrointestinal tract. While therapies exist, response can be limited within the patient population. Researchers have thus studied mouse models of colitis to further understand pathogenesis and identify new treatment targets. Flow cytometry and RNA-sequencing can phenotype immune populations with single-cell resolution but provide no spatial context. Spatial context may be particularly important in colitis mouse models, due to the simultaneous presence of colonic regions that are involved or uninvolved with disease. These regions can be identified on hematoxylin and eosin (H&E)-stained colonic tissue slides based on the presence of abnormal or normal histology. However, detection of such regions requires expert i

SUBMITTER: Kobayashi S 

PROVIDER: S-EPMC9423669 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature