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Proceedings Paper

Rapid and sensitive detection of waterborne pathogens using machine learning on a smartphone based fluorescence microscope
Author(s): Hatice Ceylan Koydemir; Zoltán Göröcs; Derek Tseng; Bingen Cortazar; Steve Feng; Raymond Yan Lok Chan; Jordi Burbano; Euan McLeod; Aydogan Ozcan
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Paper Details

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Proc. SPIE TB101, SPIE Translational Biophotonics 2016, ; doi: 10.1117/12.2228573
Show Author Affiliations
Hatice Ceylan Koydemir, Univ. of California, Los Angeles (United States)
Zoltán Göröcs, Univ. of California, Los Angeles (United States)
Derek Tseng, Univ. of California, Los Angeles (United States)
Bingen Cortazar, Univ. of California, Los Angeles (United States)
Steve Feng, Univ. of California, Los Angeles (United States)
Raymond Yan Lok Chan, Univ. of California, Los Angeles (United States)
Jordi Burbano, Univ. of California, Los Angeles (United States)
Euan McLeod, The Univ. of Arizona (United States)
Aydogan Ozcan, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. TB101:
SPIE Translational Biophotonics 2016
Tomasz S. Tkaczyk, Editor(s)

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