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;Carcagni 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
Inglese
Digital Holography and Three-Dimensional Imaging 2020
http://www.scopus.com/record/display.url?eid=2-s2.0-85102410118&origin=inward
Sì, ma tipo non specificato
22-26/06/2020
Washington, DC United States
microplastics
environmental monitoring
water quality
water pollution
digital holography
computational microscopy
machine learning
phase-contrast
7
none
Bianco, V; Memmolo, P; Carcagni, P; Merola, F; Paturzo, M; Distante, C; Ferraro, P
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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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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