A Pilot Study on Single-Cell Raman Spectroscopy Combined with Machine Learning for Phenotypic Characterization of Staphylococcus aureus.
Saved in:
| 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 |
Be the first to leave a comment!
