3D cell culture is accelerating drug development and precision medicine by providing a more accurate representation of in vivo conditions than traditional 2D monolayers. However, the very complexity that makes organoids and spheroids valuable makes them difficult to count accurately. Manual counting is prone to human error, while standard automated counters often fail to accommodate these large, multicellular structures.
Download this application note to learn:
- How advanced machine learning algorithms identify and count 3D structures
- How to reduce manual labor for counting 3D organoids
- How to assess organoid integrity and stability using measurable indicators
