Identification of pathogens and detection of antibiotic susceptibility at single-cell resolution by Raman spectroscopy combined with machine learning.

Lu, Weilai; Li, Haifei; Qiu, Haoning; Wang, Lu; Feng, Jie; Fu, Yu Vincent

Lu, Weilai; Li, Haifei; Qiu, Haoning; Wang, Lu; Feng, Jie; Fu, Yu Vincent.

Afiliación

Lu W; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Li H; College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Qiu H; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Wang L; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Feng J; College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Fu YV; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.

Front Microbiol ; 13: 1076965, 2022.

Article en En | MEDLINE | ID: mdl-36687641

Palabras clave

Raman spectroscopy; antibiotic resistance; machine learning; pathogenic bacteria; single cell

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Screening_studies Idioma: En Revista: Front Microbiol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google