Abstract

Organoids offer the potential for enhanced modelling of human tissues. Derived from stem cells, organoids can be differentiated into a wide range of tissue types including liver, lung, brain, kidney, stomach, and intestine. Since these 3D microtissues mimic in vivo organs, they can provide researchers with greater insight into the mechanisms of human development and disease as well as offer a more predictive tool during the drug discovery process. However, the complexity of performing 3D assays remains a hurdle for widespread adoption in a compound screening context. Automated confocal imaging systems, combined with powerful 3D image analysis software and – more recently – machine learning, can empower researchers to streamline their workflow, increase throughput and obtain optimal results. Such solutions can also be integrated into larger automated workflows, offering a complete end-to-end solution to streamline and scale organoid interrogation.