Drug-induced liver injury remains a major challenge in drug development. Three-dimensional liver microtissues better mimic native tissue biology but are difficult to analyze. To address this, advances in high-content imaging and machine learning now enable automated, multi-parametric analysis, revealing structural and phenotypic changes linked to compound-induced toxicity.
Download this application note to learn:
- How AI-driven 3D segmentation improves quantitative analysis of microtissues
- How multiplexed imaging captures multi-parametric cellular responses to compounds
- Strategies for phenotypic classification and data quality assessment in screening
