期刊
SLAS TECHNOLOGY
卷 22, 期 6, 页码 662-674出版社
ELSEVIER SCIENCE INC
DOI: 10.1177/2472630317727721
关键词
antimicrobials; inkjet printing; susceptibility testing; machine learning
资金
- Harvard Catalyst \ The Harvard Clinical and Translational Science Center (National Center for Research Resources) [UL1 TR001102]
- Harvard Catalyst \ The Harvard Clinical and Translational Science Center (National Center for Advancing Translational Sciences, National Institutes of Health) [UL1 TR001102]
- Harvard University
- Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health [T32HD055148]
Antibiotic resistance is compromising our ability to treat bacterial infections. Clinical microbiology laboratories guide appropriate treatment through antimicrobial susceptibility testing (AST) of patient bacterial isolates. However, increasingly, pathogens are developing resistance to a broad range of antimicrobials, requiring AST of alternative agents for which no commercially available testing methods are available. Therefore, there exists a significant AST testing gap in which current methodologies cannot adequately address the need for rapid results in the face of unpredictable susceptibility profiles. To address this gap, we developed a multicomponent, microscopy-based AST (MAST) platform capable of AST determinations after only a 2 h incubation. MAST consists of a solid-phase microwell growth surface in a 384-well plate format, inkjet printing-based application of both antimicrobials and bacteria at any desired concentrations, automated microscopic imaging of bacterial replication, and a deep learning approach for automated image classification and determination of antimicrobial minimal inhibitory concentrations (MICs). In evaluating a susceptible strain set, 95.8% were within +/- 1 and 99.4% were within +/- 2, twofold dilutions, respectively, of reference broth microdilution MIC values. Most (98.3%) of the results were in categorical agreement. We conclude that MAST offers promise for rapid, accurate, and flexible AST to help address the antimicrobial testing gap.
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