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Dynamic Laser Speckle Imaging Meets Machine Learning to Enable Rapid Antibacterial Susceptibility Testing (DyRAST).
Zhou, Keren; Zhou, Chen; Sapre, Anjali; Pavlock, Jared Henry; Weaver, Ashley; Muralidharan, Ritvik; Noble, Josh; Chung, Taejung; Kovac, Jasna; Liu, Zhiwen; Ebrahimi, Aida.
Afiliação
  • Zhou K; School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.
  • Zhou C; Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.
  • Sapre A; School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.
  • Pavlock JH; Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.
  • Weaver A; Department of Food Science, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.
  • Muralidharan R; Department of Food Science, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.
  • Noble J; Department of Food Science, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.
  • Chung T; School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.
  • Kovac J; School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.
  • Liu Z; Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.
  • Ebrahimi A; Department of Food Science, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.
ACS Sens ; 5(10): 3140-3149, 2020 10 23.
Article em En | MEDLINE | ID: mdl-32942846
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Escherichia coli / Antibacterianos Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Sens Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Escherichia coli / Antibacterianos Tipo de estudo: Prognostic_studies Idioma: En Revista: ACS Sens Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos