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Papers
61,005 resultsShowing papers similar to Imaging-based lensless polarisation-resolving fluid stream analyser for automated, label-free and cost-effective microplastic classification
ClearImaging‐Based Lensless Polarization‐Sensitive Fluid Stream Analyzer for Automated, Label‐Free, and Cost‐Effective Microplastic Classification
Researchers developed an imaging-based lensless polarization-sensitive fluid stream analyzer that combines digital in-line holography with polarization sensitivity for automated, label-free, and cost-effective in situ detection and classification of microplastics in fluid streams, offering a practical tool for continuous aquatic monitoring without the labor costs of traditional sampling.
High-throughput microplastic assessment using polarization holographic imaging
Researchers built a portable, low-cost system that uses holographic imaging and polarized light combined with deep learning to automatically detect, count, and classify microplastics in water in real time — without lengthy sample preparation. This tool significantly speeds up microplastic monitoring and could be widely deployed for environmental surveillance.
Classification of Microplastic Particles in Water using Polarized Light Scattering and Machine Learning Methods
Researchers developed a reflection-based, in-situ classification method for microplastic particles in water using polarized light scattering combined with machine learning, successfully identifying colorless particles in the 50-300 micrometer range. The approach circumvents transmission-based interference problems and offers a pathway toward continuous, large-scale microplastic monitoring in aquatic environments.
Probing Individual Particles in Aquatic Suspensions by Simultaneously Measuring Polarized Light Scattering and Fluorescence
Researchers developed a portable optical sensor that simultaneously measures polarized light scattering and fluorescence from individual particles in water, enabling classification of microplastics versus microalgae in situ. This dual-measurement approach improves particle identification accuracy compared to single-measurement methods.
Smart polarization and spectroscopic holography for real-time microplastics identification
Researchers developed a new optical imaging system called SPLASH that simultaneously captures polarization, holographic, and texture data from tiny particles — without needing a traditional spectrometer — and used machine learning to identify different types of microplastics with high accuracy. This approach could enable faster, more practical real-time monitoring of microplastic pollution in water.
Identification of microplastics in wastewater samples by means of polarized light optical microscopy
Scientists tested polarized light optical microscopy as a rapid method for identifying microplastics in wastewater samples, finding it could distinguish synthetic polymer particles from natural debris based on their optical properties without requiring expensive spectroscopy equipment.
A field deployable imaging system for detecting microplastics in the aquatic environment
Researchers built a portable imaging system for detecting microplastics in water that can be deployed directly in the field rather than requiring laboratory analysis. The system uses a de-scattering algorithm to produce clear images even in turbid water conditions and can identify particles as small as 50 micrometers. This low-cost tool could make routine microplastic monitoring of rivers, lakes, and coastal waters much more practical and accessible.
Optical System for In-situ Detection of Microplastics
Researchers developed a portable optical system capable of detecting, identifying, continuously monitoring, and quantifying microplastics in situ at natural water bodies. The system uses optical techniques to observe the temporal behavior of microplastic concentrations at fixed locations, enabling real-time environmental monitoring without sample collection and laboratory processing.
Optimized Classification of Suspended Particles in Seawater by Dense Sampling of Polarized Light Pulses
Researchers developed an optical method using polarized light pulses to classify suspended particles in seawater, aiming to distinguish microplastics from natural particles like algae in situ. A reliable in-water optical sensor for microplastics would greatly improve environmental monitoring capability.
Polarization Holographic Imaging for High-throughput Microplastic Analysis
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.
Portable On-Site Optical Detection and Quantification of Microplastics
Researchers built a portable, on-site optical device to detect and quantify microplastics in water. The device addresses the challenge of detecting small, often translucent particles without a laboratory setting. Portable microplastic detection tools could enable real-time monitoring in the field, supporting faster environmental assessments.
Micro-flow imaging for in-situ and real-time enumeration and identification of microplastics in water
Researchers tested micro-flow imaging (MFI) — a technology that uses high-speed cameras to photograph particles flowing through liquid — as a faster, more consistent way to count and characterise microplastics in water samples. The method automatically captures size, shape, colour, and transparency in real time with minimal sample preparation, making it a promising tool for field monitoring of waterways where current techniques are slow and labour-intensive.
Intelligent Digital Holographic systems to counteract microplastic pollution in marine waters
Researchers developed a digital holography system capable of detecting and classifying microplastic particles in seawater in a label-free, high-throughput manner. The system can identify plastic particles that are otherwise invisible to the naked eye and can be adapted for use with microfluidic devices. This technology offers a faster and more compact alternative to traditional microscopy methods for marine microplastic monitoring.
In-situ Detection Method for Microplastics in Water by Polarized Light Scattering
Researchers developed an in-situ detection method for microplastics in water using polarized light scattering at 120 degrees, enabling real-time measurement of individual particles without sample collection or laboratory processing.
A microfluidic approach for label-free identification of small-sized microplastics in seawater
Researchers developed a microfluidic approach for label-free identification of small microplastics in seawater, using impedance-based detection to distinguish different polymer types without chemical labeling, enabling faster and more practical environmental monitoring.
Intelligent polarization-sensitive holographic flow-cytometer: Towards specificity in classifying natural and microplastic fibers
An intelligent polarization-sensitive holographic flow cytometer was developed to classify natural and synthetic microplastic fibers at the micron scale, addressing the need for automated identification of the dominant form of microplastic pollution -- fibers -- in aquatic ecosystems.
Classification of suspended particles in seawater using an in situ polarized light scattering prototype
This study developed and field-tested an underwater sensor that uses polarized light scattering to distinguish between microplastics, sediment particles, and phytoplankton in seawater in real time. Lab tests showed classification accuracy above 85%, and the device was successfully deployed in a Chinese coastal bay across two seasons. Such in-situ monitoring tools could greatly improve our ability to track microplastic concentrations in the ocean without the labor-intensive sample collection and lab analysis currently required.
Sorting microplastics from other materials in water samples by ultra-high-definition imaging
Researchers used a commercial particle analyzer with ultra-high-definition imaging to sort and identify microplastic particles in water samples. The device successfully distinguished between different plastic types based on how light scatters through or off their surfaces, and could separate microplastics from air bubbles and other non-plastic particles. The study demonstrates a relatively fast and accessible method for characterizing microplastic contamination in water.
Recognition of microplastics suspended in seawater via refractive index by Mueller matrix polarimetry
Researchers developed a method to identify microplastics suspended in seawater using Mueller matrix polarimetry, which measures how particles interact with polarized light. The study successfully classified different types of microplastics based on their refractive index, even for irregularly shaped particles with varying sizes, suggesting this approach could advance in-situ microplastic detection in ocean water.
Microplastic identification in marine environments: A low-cost and effective approach based on transmitted light measurements
Researchers designed a low-cost microplastic detection system using a standard LCD panel and a digital USB microscope to measure transmitted light through seawater samples. The compact system demonstrated effective detection and quantification of microplastics without the need for expensive laboratory instrumentation.
Droplet-based Opto-microfluidic Device for Microplastic Sensing in Aqueous Solutions
Researchers developed a microfluidic device using light to detect plastic microspheres in water droplets, offering a new tool for identifying microplastic contamination in aquatic environments.
Real-time microplastic detection using polarization digital holographic microscope
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.
Computational polarized holography for automatic monitoring of microplastics in scattering aquatic environments
Researchers developed an integrated imaging system based on computational polarized holography for automatic monitoring of microplastics in aquatic environments. The system enables accurate 3D tracking of dynamic microplastic particles, and a hybrid de-scattering algorithm substantially improves image quality even in turbid water conditions. An unsupervised clustering method was also developed to identify and classify different microplastics based on their multimodal features without manual annotation.
Classification of microplastics in living organism using color polarization camera
Researchers developed a color polarization camera system to classify microplastics in living organisms, using polarization contrast imaging to distinguish plastic particles from biological tissue in vivo, enabling non-destructive detection of ingested MPs without sacrificing or chemically treating animals.