Intelligent convolution neural network-assisted SERS to realize highly accurate identification of six pathogenic <i>Vibrio</i>
Hui Yu, Zhi-Lan Yang, Shi-ying Fu, Yue‐Jiao Zhang, Rajapandiyan Panneerselvam, Baoqiang Li, Lin Zhang, Zehui Chen, Xin Wang, Jian‐Feng Li
Abstract
Based on the label-free SERS technology, we successfully developed a deep learning CNN model, achieving low-cost and high-accuracy identification of six representative pathogenic Vibrio within 15 minutes.
Topics & Concepts
Identification (biology)Convolutional neural networkComputer scienceConvolution (computer science)Artificial intelligenceArtificial neural networkDeep learningPathogenic bacteriaVibrioBiologyBacteriaGeneticsBotanySpectroscopy Techniques in Biomedical and Chemical ResearchVibrio bacteria research studiesIdentification and Quantification in Food