Dynamic Laser Speckle Imaging Meets Machine Learning to Enable Rapid Antibacterial Susceptibility Testing (DyRAST).

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作者： Keren,Zhou ^[1] ; Chen,Zhou ^[2] ; Anjali,Sapre ^[1] ; Jared Henry,Pavlock ^[2] ; Ashley,Weaver ^[3] ; Ritvik,Muralidharan ^[3] ; Josh,Noble ^[3] ; Taejung,Chung ^[1] ; Jasna,Kovac ^[1] ; Zhiwen,Liu ^[2] ; Aida,Ebrahimi ^[3]

作者单位： School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, Pennsylvania 16802, United States. ^[1] Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States. ^[2] Department of Food Science, The Pennsylvania State University, University Park, Pennsylvania 16802, United States. ^[3] Department of Biomedical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States. ^[4]

关键词 antibacterial susceptibility testing bacteria laser speckle imaging machine learning phenotype

主题词抗菌药(Anti-Bacterial Agents);大肠杆菌(Escherichia coli);激光(Lasers);微生物敏感性试验(Microbial Sensitivity Tests)

DOI 10.1021/acssensors.0c01238

PMID 32942846

发布时间 2021-05-14

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2020年5卷10期

3140-3149页

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Dynamic Laser Speckle Imaging Meets Machine Learning to Enable Rapid Antibacterial Susceptibility Testing (DyRAST).

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Dynamic Laser Speckle Imaging Meets Machine Learning to Enable Rapid Antibacterial Susceptibility Testing (DyRAST).

ACS sensors

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ACS sensors

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