An effective strategy, that combines Digital Holography with machine learning, for achieving accurate and automatic identification of microplastics in filtered water sample, is proposed, reaching over 99% in classification performance among microplastics and diatoms.

Holographic imaging boosts machine learning for accurate micro-plastics recognition in seawater sample

Bianco V;Memmolo P;Merola F;Paturzo M;Distante C;Ferraro P
2020

Abstract

An effective strategy, that combines Digital Holography with machine learning, for achieving accurate and automatic identification of microplastics in filtered water sample, is proposed, reaching over 99% in classification performance among microplastics and diatoms.
2020
microplastics
environmental monitoring
water quality
water pollution
digital holography
computational microscopy
machine learning
phase-contrast
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/401953
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