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Automated Detection and Enumeration of Waterborne Pathogens Using Mobile Phone Microscopy and Machine Learning

Authors :
Aydogan Ozcan
Steve Feng
Parul Benien
Rohan Nadkarni
Hatice Ceylan Koydemir
Kyle Liang
Source :
Conference on Lasers and Electro-Optics.
Publication Year :
2017
Publisher :
OSA, 2017.

Abstract

We present a field portable and cost-effective smartphone based microscopy platform for rapid and sensitive detection and automated counting of waterborne pathogens, i.e., Giardia lamblia cysts, in large volume water samples using machine learning.

Details

Database :
OpenAIRE
Journal :
Conference on Lasers and Electro-Optics
Accession number :
edsair.doi...........983b7a24a9191660be0bf5e5fe3d2548