The Lumen Standardization App on the IKOSA platform brings AI-powered quality control to blood-brain barrier (BBB) organ-on-chip research. Developed for the SynBBB™ platform, the application uses deep learning to analyze phase-contrast images and generate a Lumen Readiness Score that reflects endothelial integrity and lumen continuity before dosing.
By enabling objective PASS/FAIL decisions, the workflow helps reduce assay variability and improve experimental reliability. Integrated image management, AI-powered analysis, and intuitive score visualization within IKOSA provide researchers with a streamlined, scalable approach to quality assurance. The application strengthens confidence in BBB studies and supports the broader adoption of predictive, human-relevant in vitro models for drug discovery.
Available through the IKOSA platform as the Lumen Standardization App, the underlying AI-driven workflow can also be adapted to a wide range of organ-on-chip and microphysiological systems, supporting scalable image-based quality control across advanced in vitro models.
