Automating Organoid Workflows with AI-Driven Cell Culture

This tutorial from SLAS 2026 demonstrates how automated cell culture and AI-driven analysis are transforming organoid workflows. By standardizing processes such as seeding, growth monitoring, and passaging, researchers can generate more consistent, scalable models for disease research and drug discovery. The integration of automation reduces manual variability, improves throughput, and enables more reliable experimental outcomes—especially for complex 3D models like patient-derived organoids.

Key Takeaways

• Automate organoid culture and passaging workflows
• Improve reproducibility across 3D models
• Use AI to monitor growth and trigger key decisions
• Scale organoid production for drug discovery
• Reduce variability from manual processes

https://vids.moleculardevices.com/watch/C4CGCrF2VcdSPtyEYmn9Fg