Rapid imaging, detection and quantification of Giardia lamblia cysts using mobile-phone based fluorescent microscopy and machine learning
Author:
Affiliation:
1. Department of Electrical Engineering
2. University of California Los Angeles (UCLA)
3. USA
4. Department of Bioengineering
Abstract
We report a mobile-phone based fluorescent microscope that uses machine learning to rapidly image, detect and quantify Giardia lamblia cysts in water samples.
Funder
Army Research Office
Publisher
Royal Society of Chemistry (RSC)
Subject
Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering
Link
http://pubs.rsc.org/en/content/articlepdf/2015/LC/C4LC01358A
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