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

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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.

© 2017 Optical Society of America

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