Comparative Analysis of Machine Learning Algorithms on Surface Enhanced Raman Spectra of Clinical Staphylococcus Species

Comparative Analysis of Machine Learning Algorithms on Surface Enhanced Raman Spectra of Clinical Staphylococcus Species

Raman spectroscopy (RS) is a widely used analytical technique based on the detection of molecular vibrations in a defined system, which generates Raman spectra that contain unique and highly resolved fingerprints of the system. However, the low intensity of normal Raman scattering effect greatly hin...

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Bibliographic Details
Main Authors: Jia-Wei Tang, Qing-Hua Liu, Xiao-Cong Yin, Ya-Cheng Pan, Peng-Bo Wen, Xin Liu, Xing-Xing Kang, Bing Gu, Zuo-Bin Zhu, Liang Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Microbiology
Subjects:
Raman spectroscopy
surface enhanced Raman spectroscopy
convolutional neural network
long short-term memory neural network
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2021.696921/full

Internet

https://www.frontiersin.org/articles/10.3389/fmicb.2021.696921/full

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