SCIENTIFIC POSTER
AI-enabled automated compound screening for toxicity effects using healthy intestinal 3D organoids
Unlock faster, more accurate toxicity screening with AI-powered 3D organoid analysis.
Discover how combining high-content imaging with machine learning dramatically improves the efficiency, scalability, and biological relevance from compound toxicity testing. By automating complex workflows and enabling phenotypic classification of intestinal organoids, researchers can reduce manual effort, increase throughput, and generate more high-quality data for in vitro toxicity assessment.
In this poster, we share a fully automated workflow using human-relevant 3D organoid models for assessing intestinal toxicity. The study showcases how the CellXpress.ai® Automated Cell Culture System automates organoid culture and compound treatment, while the ImageXpress® HCS.ai High-Content Screening System and IN Carta® Image Analysis Software enable deep learning-based image analysis and phenotypic classification. The result: an effective method for evaluating drug-induced toxicity, facilitated by AI-enabled phenotypic classification of organoids.
