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Proceedings Paper

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

Paper Abstract

Abstract not available.

Paper Details

Date Published: 11 November 2016
PDF: 1 pages
Proc. SPIE 9699, Optics and Biophotonics in Low-Resource Settings II, 96990G (11 November 2016); doi: 10.1117/12.2238738
Show Author Affiliations
Hatice Ceylan Koydemir, Univ. of California, Los Angeles (United States)
Zoltan Goracs, 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 W. 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. 9699:
Optics and Biophotonics in Low-Resource Settings II
David Levitz; Aydogan Ozcan; David Erickson, Editor(s)

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