Jan 09, 2025
Researchers Develop New Single-Cell Method for Rapid Identification of Airborne Pathogens in Real-World Environment
A research team led by Prof. ZHU Yongguan, CAS member, and Prof. CUI Li from the Institute of Urban Environment of the Chinese Academy of Sciences developed and published an innovative airborne pathogen detection technology, which combines single-cell Raman spectroscopy with an open-set deep learning algorithm.
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