High-throughput imaging, which allows automated, rapid, quantitative and time-dependent analysis of events at the cellular level on 2D but also 3D models (organoids, etc.), has developed considerably. This technology has become central to a large number of projects to quantitatively phenotype different cell types from animal or human origin. For this, HCS (High Content Screening) imaging is a major asset allowing on the same system the imaging and the analysis of the sought phenomena. In this context, we would like to image and characterized large organoids with cellular and subcellular resolutions. The goal will be to demonstrate, characterize and quantify cell differentiation within a 3D organoid. The biological question is to identify and quantify different cell types inside spheroids: - Spheroids after differentiation: lipids-containing cells were stained with bodipy; endothelial cells and pericytes were revealed by specifics staining and Draq5 staining for cell nuclei. For this we would like to use a high throughput imaging system allowing fluorescence imaging of organoids in 3D on fixed samples from setting up an acquisition protocol to analyzing images and evaluating results. In order to facilitate questions, understand expectations, lead discussions, users will respond throughout the workshop to mini-quiz in real time via application on smartphones.