Holographic imaging boosts machine learning for accurate micro-plastics recognition in seawater sample
Conference Paper
Publication Date:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
microplastics; environmental monitoring; water quality; water pollution; digital holography; computational microscopy; machine learning; phase-contrast
List of contributors: