Automated Identification Of Bacteria Using Three-Dimensional Holographic Imaging And Convolutional Neural Network

2018 IEEE PHOTONICS CONFERENCE (IPC)(2018)

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摘要
Rapid identification of microbial pathogens is crucial for treating infections. Here we present a rapid method for identification of bacteria. In our method, a trained convolutional neural network classifier can accurately determine the bacterial species from a given three-dimensional refractive index image.
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关键词
bacteria, quantitative phase imaging, 3D imaging, neural network, artificial intelligence
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