Empowering Research at Alderley Park

Understanding and Predicting Drug-Induced Liver Damage - hepatocyte hypertrophy is a major cause of drug failure in clinical trials. Researchers like Simon Plummer are using AI-driven imaging to better model liver responses and improve drug safety.

AI-driven imaging is unlocking the full potential of complex in vitro models (CIVM), overcoming the limits of 2D analysis for 3D/4D data. This shift—accelerated by FDA recognition—enables scalable, automated, and biologically relevant drug discovery using advanced microscopy and analysis tools.

Watch a video demo of ZEISS arivis Pro using machine learning to segment organoid structures and study Wnt signaling in maturation. Once trained, the analysis runs at scale via parallel processing in ZEISS arivis Hub for high-content 3D analysis.

Learn how to study Wnt signaling in intestinal organoids using simple imaging and AI-powered analysis. Explore how machine learning enables segmentation of organoid layers, nuclei, and cell bodies for deeper biological insights.

Evaluate drug-induced cytotoxicity more efficiently with an AI-powered workflow combining widefield imaging, HCS, and automated analysis on the ZEISS Celldiscoverer 7. This approach enables precise cell segmentation, viability assessment, and faster identification of effective treatment strategies in biopharma research.

Traditional 2D cultures fall short in predicting drug responses, but advanced Organ-on-a-Chip models paired with high-resolution 3D imaging are changing the game.

Using the ZEISS LSM 910 with Airyscan, researchers can visualize detailed cellular behavior and gene expression, enabling earlier toxicity detection and more confident drug development.

Explore how 3D High Content Analysis and AI-powered imaging workflows are transforming biotech and pharma research. Learn how our solutions enable scalable, high-throughput 3D imaging with accurate segmentation and reproducible insights—accelerating discovery and reducing variability.

Explore microscopy solutions designed to support drug discovery workflows — enabling precise target identification, scalable high-content screening, and AI-powered image analysis.