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April 15, 2025
SMART researchers develop novel UV & machine learning-aided method to detect microbial contamination in cell cultures
This is the first novel technology that utilises machine learning to analyse unique ultraviolet light “fingerprints” ” in cell cultures, allowing for fast and accurate detection of contamination—delivering a definitive answer in just 30 minutes.
Cell therapy holds incredible promise for treating cancers, inflammatory diseases, and chronic disorders — but ensuring these therapies are free from contamination before reaching patients remains a major challenge.Researchers from the Critical Analytics for Manufacturing Personalized-Medicine (CAMP), interdisciplinary research group (IRG), in collaboration with Massachusetts Institute of Technology (MIT), A*STAR Skin Research Labs (A*SRL), and National University of Singapore (NUS), have developed a novel, automated method to rapidly detect microbial contamination during the early stages of cell therapy production.
https://biovoicenews.com/smart-researchers-develop-novel-uv-machine-learning-aided-method-to-detect-microbial-contamination-in-cell-cultures/
