A recent study by Lefferts, J.W., et al., published in Communications Biology, introduces OrgaSegment, a cutting-edge deep-learning tool designed to enhance the precision of organoid segmentation. This innovative method is key in quantifying CFTR-dependent fluid secretion, a critical function in cystic fibrosis research. By automating the segmentation process, OrgaSegment represents a significant leap in organoid analysis, paving the way for more efficient and accurate investigations into CFTR therapies.
Lefferts, J.W. et al. OrgaSegment: deep-learning based organoid segmentation to quantify CFTR dependent fluid secretion. Commun Biol 7, 319 (2024). https://doi.org/10.1038/s42003-024-05966-4