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Mobile Microscopy and Machine Learning Provide Accurate and High-throughput Monitoring of Air Quality

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Abstract

Lensfree computational microscopy and machine learning enable a field-portable and cost-effective platform for high-throughput and accurate quantification of particulate matter (PM). Spatio-temporal mapping using this device reveals increased PM concentrations >7km away from LAX airport.

© 2017 Optical Society of America

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