Deep learning-based image analysis for label-free monitoring of iPSC and 3D organoid cultures

In this application note, artificial intelligence tools for image segmentation (SINAP) and object classification (phenoglyphs) were used to automate the image analyses of iPSC colonies, organoids, and spheroids. The application note shows how deep learning-based SINAP enables robust detection of complex objects of interest (e.g. stem cell colonies or organoids) with minimal human intervention.