[HTML][HTML] On the use of deep learning for phase recovery

K Wang, L Song, C Wang, Z Ren, G Zhao… - Light: Science & …, 2024 - nature.com
Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …

[HTML][HTML] A critical review on artificial intelligence—Based microplastics imaging technology: Recent advances, hot-spots and challenges

Y Zhang, D Zhang, Z Zhang - International Journal of Environmental …, 2023 - mdpi.com
Due to the rapid artificial intelligence technology progress and innovation in various fields,
this research aims to use science mapping tools to comprehensively and objectively analyze …

Snapshot polarization-sensitive holography for detecting microplastics in turbid water

J Huang, Y Zhu, Y Li, EY Lam - ACS Photonics, 2023 - ACS Publications
Microplastic (MP) pollution is a serious environmental problem, which can severely harm the
earth's ecosystems and human health. However, in situ characterization of MP particles …

Intelligent polarization-sensitive holographic flow-cytometer: Towards specificity in classifying natural and microplastic fibers

M Valentino, J Bĕhal, V Bianco, S Itri, R Mossotti… - Science of The Total …, 2022 - Elsevier
Micron size fiber fragments (MFFs), both natural and synthetic, are ubiquitous in our life,
especially in textile clothes, being necessary in modern society. In the Earth's aquatic …

[HTML][HTML] Microplastic pollution assessment with digital holography and zero-shot learning

Y Zhu, HKA Lo, CH Yeung, EY Lam - APL Photonics, 2022 - pubs.aip.org
Microplastic (MP) pollution poses severe environmental problems. Developing effective
imaging tools for the identification and analysis of MPs is a critical step to curtail their …

Underappreciated microplastic galaxy biases the filter-based quantification

K Liu, L Zhu, N Wei, D Li - Journal of Hazardous Materials, 2024 - Elsevier
Long-term environmental loading of microplastics (MPs) causes alarming exposure risks for
a variety of species worldwide, considered a planetary threat to the well-being of …

[HTML][HTML] Recent trends in marine microplastic modeling and machine learning tools: Potential for long-term microplastic monitoring

S Phan, CK Luscombe - Journal of Applied Physics, 2023 - pubs.aip.org
The increase in the global demand for plastics, and more recently during the pandemic, is a
major concern for the future of plastic waste pollution and microplastics. Efficient microplastic …

Liquid crystals as multifunctional interfaces for trapping and characterizing colloidal microplastics

F Mukherjee, A Shi, X Wang, F You, NL Abbott - Small, 2023 - Wiley Online Library
Identifying and removing microplastics (MPs) from the environment is a global challenge.
This study explores how the colloidal fraction of MPs assemble into distinct 2D patterns at …

[HTML][HTML] Flow cytometry as a rapid alternative to quantify small microplastics in environmental water samples

YT Tse, HS Lo, SMN Chan, ETP Sze - Water, 2022 - mdpi.com
The most frequently used method to quantify microplastics (MPs) visually by microscope is
time consuming and labour intensive, where the method is also hindered by the size …

Toward an all-optical fingerprint of synthetic and natural microplastic fibers by polarization-sensitive holographic microscopy

J Behal, M Valentino, L Miccio, V Bianco, S Itri… - ACS …, 2022 - ACS Publications
Microplastic fibers from synthetic textiles have been indicated as a major source of pollution
because millions of fibers are released into the environment by laundry washing. In fact …