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

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

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-throug...

Full description

Saved in:
Bibliographic Details
Main Authors: Jonathan M Matthews, Brooke Schuster, Sara Saheb Kashaf, Ping Liu, Rakefet Ben-Yishay, Dana Ishay-Ronen, Evgeny Izumchenko, Le Shen, Christopher R Weber, Margaret Bielski, Sonia S Kupfer, Mustafa Bilgic, Andrey Rzhetsky, Savaş Tay
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-11-01
Series:PLoS Computational Biology
Online Access:https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010584&type=printable
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items