OrBITS: label-free and time-lapse monitoring of patient derived organoids for advanced drug screening.

ABSTRACT:

Background

Patient-derived organoids are invaluable for fundamental and translational cancer research and holds great promise for personalized medicine. However, the shortage of available analysis methods, which are often single-time point, severely impede the potential and routine use of organoids for basic research, clinical practise, and pharmaceutical and industrial applications.

Methods

Here, we developed a high-throughput compatible and automated live-cell image analysis software that allows for kinetic monitoring of organoids, named Organoid Brightfield Identification-based Therapy Screening (OrBITS), by combining computer vision with a convolutional network machine learning approach. The OrBITS deep learning analysis approach was validated against current standard as

SUBMITTER: Deben C 

PROVIDER: S-EPMC10060271 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature