We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Holographic and polarization features analysis for microplastics characterization and water monitoring
AI summary Read the abstract
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.
More Papers Like This
Polarization-Resolved Digital Holographic Measurements of Microplastics
AI summary Read the abstract
Researchers applied polarization-resolved dual-view digital holography to image microplastic particles, producing four simultaneous intensity measurements across different polarization channels. The technique enabled enhanced discrimination of microplastic particles from other environmental particles based on their polarization scattering signatures. The study demonstrates a promising optical imaging approach for improving automated microplastic detection and identification in environmental samples.
Polarization-sensitive digital holography for microplastic identification through scattering media
AI summary Read the abstract
Researchers designed a polarization-sensitive holographic imaging system capable of identifying transparent microplastics through scattering media by measuring the degree of linear polarization (DoLP) as an angle-independent discriminating feature. The system enables non-destructive differentiation of microplastic types in turbid or complex optical environments where conventional imaging methods fail.
Polarization digital holography for advanced classification of microplastic particles
AI summary Read the abstract
Researchers developed a polarization digital holography approach for classifying microplastic particles based on their optical birefringence properties, requiring minimal sample preparation. The non-destructive method can distinguish microplastics from biological material by detecting how particles alter light polarization states.
Polarization Holographic Imaging for High-throughput Microplastic Analysis
AI summary Read the abstract
Researchers developed a polarization holography system integrated with deep learning for high-throughput microplastic detection and analysis in aqueous environments. The system enables dynamic, real-time multimodal monitoring of microplastics by leveraging polarization contrast to distinguish particles in liquid samples.
Real-time microplastic detection using polarization digital holographic microscope
AI summary Read the abstract
Researchers developed a real-time microplastic detection system using a polarization digital holographic microscope, enabling identification and characterization of MP particles in water based on their optical properties without the need for chemical staining or extensive sample preparation.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.