A Pilot Study on Single-Cell Raman Spectroscopy Combined with Machine Learning for Phenotypic Characterization of Staphylococcus aureus.

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Title: A Pilot Study on Single-Cell Raman Spectroscopy Combined with Machine Learning for Phenotypic Characterization of Staphylococcus aureus.
Authors: Liu L; National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China., Xue J; China General Microbiological Culture Collection Center (CGMCC), State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China., Song Y; Key Laboratory of Surveillance and Early-Warning on Infectious Disease, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China., Zhan T; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China., Liu Y; National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China., Song X; National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China., Mei L; Tuberculosis Prevention and Control Institute, Beijing Center for Disease Control and Prevention, Beijing 100013, China., Wang D; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China., Fu YV; China General Microbiological Culture Collection Center (CGMCC), State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China., Wei Q; National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Source: Microorganisms [Microorganisms] 2025 Jun 08; Vol. 13 (6). Date of Electronic Publication: 2025 Jun 08.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101625893 Publication Model: Electronic Cited Medium: Print ISSN: 2076-2607 (Print) Linking ISSN: 20762607 NLM ISO Abbreviation: Microorganisms Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: A Pilot Study on Single-Cell Raman Spectroscopy Combined with Machine Learning for Phenotypic Characterization of Staphylococcus aureus.
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  Data: <searchLink fieldCode="AU" term="%22Liu+L%22">Liu L</searchLink>; National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China.<br /><searchLink fieldCode="AU" term="%22Xue+J%22">Xue J</searchLink>; China General Microbiological Culture Collection Center (CGMCC), State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.<br /><searchLink fieldCode="AU" term="%22Song+Y%22">Song Y</searchLink>; Key Laboratory of Surveillance and Early-Warning on Infectious Disease, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China.<br /><searchLink fieldCode="AU" term="%22Zhan+T%22">Zhan T</searchLink>; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.<br /><searchLink fieldCode="AU" term="%22Liu+Y%22">Liu Y</searchLink>; National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China.<br /><searchLink fieldCode="AU" term="%22Song+X%22">Song X</searchLink>; National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China.<br /><searchLink fieldCode="AU" term="%22Mei+L%22">Mei L</searchLink>; Tuberculosis Prevention and Control Institute, Beijing Center for Disease Control and Prevention, Beijing 100013, China.<br /><searchLink fieldCode="AU" term="%22Wang+D%22">Wang D</searchLink>; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.<br /><searchLink fieldCode="AU" term="%22Fu+YV%22">Fu YV</searchLink>; China General Microbiological Culture Collection Center (CGMCC), State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.<br /><searchLink fieldCode="AU" term="%22Wei+Q%22">Wei Q</searchLink>; National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
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  Data: <searchLink fieldCode="JN" term="%22101625893%22">Microorganisms</searchLink> [Microorganisms] 2025 Jun 08; Vol. 13 (6). <i>Date of Electronic Publication: </i>2025 Jun 08.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101625893 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2076-2607 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220762607%22">20762607 </searchLink><i>NLM ISO Abbreviation: </i>Microorganisms <i>Subsets: </i>PubMed not MEDLINE
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      – Type: doi
        Value: 10.3390/microorganisms13061333
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      – Code: eng
        Text: English
    Titles:
      – TitleFull: A Pilot Study on Single-Cell Raman Spectroscopy Combined with Machine Learning for Phenotypic Characterization of Staphylococcus aureus.
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            NameFull: Liu L
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            NameFull: Xue J
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          Dates:
            – D: 08
              M: 06
              Text: 2025 Jun 08
              Type: published
              Y: 2025
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              Value: 13
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