OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics.

ABSTRACT: Organoids have immense potential as ex vivo disease models for drug discovery and personalized drug screening. Dynamic changes in individual organoid morphology, number, and size can indicate important drug responses. However, these metrics are difficult and labor-intensive to obtain for high-throughput image datasets. Here, we present OrganoID, a robust image analysis platform that automatically recognizes, labels, and tracks single organoids, pixel-by-pixel, in brightfield and phase-contrast microscopy experiments. The platform was trained on images of pancreatic cancer organoids and validated on separate images of pancreatic, lung, colon, and adenoid cystic carcinoma organoids, which showed excellent agreement with manual measurements of organoid count (95%) and size (97%) without any p

SUBMITTER: Matthews JM 

PROVIDER: S-EPMC9645660 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature