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Intelligent convolution neural network-assisted SERS to realize highly accurate identification of six pathogenic Vibrio.

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Based on label-free SERS technology, the relationship between the Raman signals of pathogenic Vibrio microorganisms and purine metabolites was analyzed in detail. A deep learning CNN model was successfully developed,… Click to show full abstract

Based on label-free SERS technology, the relationship between the Raman signals of pathogenic Vibrio microorganisms and purine metabolites was analyzed in detail. A deep learning CNN model was successfully developed, achieving a high accuracy rate of 99.7% in the identification of six typical pathogenic Vibrio species within 15 minutes, providing a new method for pathogen identification.

Keywords: convolution neural; identification six; pathogenic vibrio; vibrio; intelligent convolution

Journal Title: Chemical communications
Year Published: 2023

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