Automated analysis of organoid growth and differentiation is important for toxicity assays, drug screening and quality control protocols.
This solution can be used to quantify the volume of organoids and their lumens if applicable. As a first step, the organoid area and the lumen area are segmented using a trained deep learning network. This segmentation is then applied to z-stack images of many organoids gathered from multi-well plates.
For each organoid, 3D objects are generated that are used to quantify the organoid and lumen volumes. Finally, the measurements are presented as tables and interactive plots making it easy to understand and interpret the results.