Separation-free bacterial identification in arbitrary media via deep neural network-based SERS analysis.

Rho, Eojin; Kim, Minjoon; Cho, Seunghee H; Choi, Bongjae; Park, Hyungjoon; Jang, Hanhwi; Jung, Yeon Sik; Jo, Sungho

Rho, Eojin; Kim, Minjoon; Cho, Seunghee H; Choi, Bongjae; Park, Hyungjoon; Jang, Hanhwi; Jung, Yeon Sik; Jo, Sungho.

Afiliação

Rho E; School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Kim M; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Cho SH; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Choi B; School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Park H; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Jang H; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Jung YS; Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea. Electronic address: ysjung@kaist.ac.kr.
Jo S; School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea. Electronic address: shjo@kaist.ac.kr.

Biosens Bioelectron ; 202: 113991, 2022 Apr 15.

Article em En | MEDLINE | ID: mdl-35078144

Assuntos

Técnicas Biossensoriais; Escherichia coli; Redes Neurais de Computação; Análise Espectral Raman/métodos; Staphylococcus epidermidis

Palavras-chave

Bacterial detection; Deep learning; E. coli; S. epidermidis; Surface-enhanced Raman spectroscopy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 3_ND Problema de saúde: 3_neglected_diseases / 3_zoonosis Assunto principal: Técnicas Biossensoriais / Escherichia coli Tipo de estudo: Diagnostic_studies Idioma: En Revista: Biosens Bioelectron Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2022 Tipo de documento: Article

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