SLAS Europe 2026 Poster
Development of a 3D High-Content Imaging-Based Explorative Toxicology Platform for Tumor and Healthy Colorectal Patient-Derived Organoids
Peter van Schaik1, Cinthya Del Angel Zuvirie1, Femke Huijer1, Lois van der Drift1, Hester Bange1, Marten Hornsveld1, Maria Garcia-Collado2, Maryia Karpiyevich2
1Crown Bioscience Netherlands BV, Leiden, the Netherlands
2SPT Labtech, Cambridge, UK
In this scientific research collaboration with SPT Labtech, discover how Crown Bioscience’s automated 3D organoid platform helps researchers assess GI toxicity, compare effects in matched tumor and healthy tissues, and generate more physiologically relevant safety data earlier in development.
This poster showcases a high-throughput exploratory toxicology platform built with matched tumor and healthy colorectal patient-derived organoids (PDOs). Combining automated liquid handling, tissue differentiation, and high-content 3D imaging, the workflow enables sensitive detection of compound-induced phenotypic changes across healthy stem-like, differentiated, and tumor organoid models. The result is a scalable approach for evaluating therapeutic window and supporting safer development of modern oncology therapies.
Download this Poster to Discover:
- How to assess GI toxicity using matched healthy and tumor colorectal patient-derived organoid models: Explore a more physiologically relevant 3D platform for evaluating compound effects across patient-derived tissues and improving early safety assessment.
- How to distinguish compound effects across healthy stem-like, differentiated, and tumor tissue compartments: See how the platform enables independent evaluation of drug response in biologically distinct cell states to better understand toxicity and selectivity.
- How automated 384-well workflows enable reproducible, high-throughput 3D toxicity screening: Learn how automated organoid seeding, media handling, and treatment support scalable assay performance with strong consistency across plates and wells.
- How high-content imaging supports therapeutic window evaluation for modern oncology therapies: Discover how morphology-based image analysis helps identify phenotypic changes linked to cytotoxic and cytostatic effects for ADCs, PROTACs, and small molecules.
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