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Smart polarization and spectroscopic holography for real-time microplastics identification

Engineering and Technology

Smart polarization and spectroscopic holography for real-time microplastics identification

Y. Zhu, Y. Li, et al.

Explore the groundbreaking SPLASH system developed by Yanmin Zhu, Yuxing Li, Jianqing Huang, and Edmund Y. Lam, which revolutionizes the identification of microplastics in real-time using advanced polarization and spectroscopic techniques, achieving impressive accuracy with machine learning.

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Playback language: English
Abstract
This paper introduces a novel smart polarization and spectroscopic holography (SPLASH) system for real-time microplastics (MPs) identification. SPLASH integrates multi-dimensional features (polarization states, holographic patterns, and texture) to achieve highly accurate and efficient MP identification without a separate spectroscopic system. Using machine learning, SPLASH demonstrates over 0.8 AUC and less than 0.05 variance in discriminating MPs, showing promise for MP pollution assessment and monitoring.
Publisher
Communications Engineering
Published On
Feb 17, 2024
Authors
Yanmin Zhu, Yuxing Li, Jianqing Huang, Edmund Y. Lam
Tags
smart polarization
spectroscopic holography
microplastics identification
machine learning
pollution assessment
real-time monitoring

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