Automated Identification of Bacteria Using Three-dimensional Holographic Imaging and Convolutional Neural Network

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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.
Publisher
IEEE
Issue Date
2018-10
Language
English
Citation

31st Annual IEEE Photonics Conference (IPC) of the IEEE-Photonics-Society

ISSN
2374-0140
DOI
10.1109/IPCon.2018.8527133
URI
http://hdl.handle.net/10203/274781
Appears in Collection
PH-Conference Papers(학술회의논문)
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