2024
DOI: 10.1021/acs.analchem.3c05107
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Combined Mutual Learning Net for Raman Spectral Microbial Strain Identification

Junfan Chen,
Jiaqi Hu,
Chenlong Xue
et al.

Abstract: Infectious diseases pose a significant threat to global health, yet traditional microbiological identification methods suffer from drawbacks, such as high costs and long processing times. Raman spectroscopy, a label-free and noninvasive technique, provides rich chemical information and has tremendous potential in fast microbial diagnoses. Here, we propose a novel Combined Mutual Learning Net that precisely identifies microbial subspecies. It demonstrated an average identification accuracy of 87.96% in an open-… Show more

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