SOURCE-LINKED INTELLIGENCE
MorphoOrgaAgent: A Foundation-Model-Based Multi-Agent System for Autonomous Organoid Analysis
Organoids are three-dimensional tissue models whose morphology provides important insights into tumor development, disease progression, and drug testing. Extracting these morphological features relies heavily on manual segmentation, which is time-consuming and labor-intensive. Furthermore, performing quantitative statistical analysis typically requires custom coding skills and a mathematical background, presenting a major barrier for experimental biologists. To address these challenges, we introduce MorphoOrgaAgent, a multi-agent framework that achieves zero-shot organoid segmentation, automat
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T12:59:46.000Z
First collected: 2026-09-20T20:02:11.508Z. This is not the publication date.