The intestinal crypt system is an important part of the intestinal organoid where mature organoids have more complex and numerous crypt structures. Yet, due to their high turnover rate and rapid renewal, monitoring their growth and maturation can be difficult.
In this application note, we describe methods for using high-content imaging and analysis to define and measure changes in phenotypes and the morphology of organoids. We also share a workflow to easily image, analyze, and classify intestinal organoids using an AI-enabled classification approach to monitor growth and development of the organoids in culture. In addition, these methods can be applied to any organoid, regardless of the origin or development protocols.