Prof. Guo Shifeng's team at the Shenzhen Institute of Advanced Technology (SIAT) of the Chinese Academy of Sciences has proposed a novel method that fills the gap between physical measurement and artificial intelligence in bacterial viability detection. The study was published in Cell Reports Physical Science.