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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Policy & Risk Sign in to save

Holographic and polarization features analysis for microplastics characterization and water monitoring

2023 4 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Yuxing Li, Yanmin Zhu, Yuxing Li, Yanmin Zhu, Yunping Zhang, Jianqing Huang, Jianqing Huang, Jianqing Huang, Jianqing Huang, Jianqing Huang, Yanmin Zhu, Yanmin Zhu, Jianqing Huang, Edmund Y. Lam Yanmin Zhu, Edmund Y. Lam Yanmin Zhu, Yanmin Zhu, Yuxing Li, Jianqing Huang, Yuxing Li, Yanmin Zhu, Edmund Y. Lam Yuxing Li, Yuxing Li, Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Jianqing Huang, Jianqing Huang, Jianqing Huang, Jianqing Huang, Jianqing Huang, Jianqing Huang, Jianqing Huang, Jianqing Huang, Jianqing Huang, Jianqing Huang, Jianqing Huang, Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Yanmin Zhu, Edmund Y. Lam Edmund Y. Lam Yunping Zhang, Yunping Zhang, Edmund Y. Lam Yunping Zhang, Yunping Zhang, Yunping Zhang, Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam Edmund Y. Lam

Summary

Researchers explored digital holography and polarization imaging as a combined technique for characterizing and classifying microplastics in water, computing features including angle of polarization (AoP) and degree of linear polarization (DoLP) to distinguish microplastics from biological and natural particles. The method demonstrated potential for real-time, non-contact, in situ microplastic detection and water quality monitoring.

The assessment of microplastics (MPs) pollution and water quality monitoring raise a lot of attention in recent years. Discriminative methods are highly needed for quick and accurate in situ MP detections. Digital holography records the wavefront information of the objects and contains the morphology, refractive index, and roughness information. Polarization imaging inspects the optical anisotropy of MPs, which is related to their birefringence and material characteristics. In this work, we explore the capability of holographic and polarization imaging for the identification of MPs. The computed features, such as the angle of polarization (AoP) and degree of linear polarization (DoLP), show distinguishable characteristics of MPs. We inspect the method feasibility on MP classification as well as biological and natural particles. The proposed method shows potential use in real-time, non-contact in situ MPs detection and water pollution monitoring.

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