We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
A field deployable imaging system for detecting microplastics in the aquatic environment
AI summary Read the abstract
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.
Microplastic (MP) pollutants, which are widely distributed and resistant to decomposition, pose serious threats to both ecosystems and human health. Developing efficient, field deployable, and low-cost MP detection systems is of paramount importance for promoting sustainable development. In this work, we design an integrated imaging system for detecting MPs in various aquatic environments. To address the challenge of image degradation caused by scattering effects, a de-scattering algorithm based on synthetic polarization holography is proposed. Calibration results demonstrate a substantial enhancement in image contrast and spatial resolution. Furthermore, our imaging system enables simultaneous capture of amplitude, phase, and polarization information, which is advantageous for the quantification and identification of MPs. Consequently, this field deployable imaging system offers an efficient solution for realtime monitoring of MPs in turbid aquatic environments.
More Papers Like This
Portable On-Site Optical Detection and Quantification of Microplastics
AI summary Read the abstract
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.
Optical System for In-situ Detection of Microplastics
AI summary Read the abstract
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.
High-throughput microplastic assessment using polarization holographic imaging
AI summary Read the abstract
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.
Visualization and characterisation of microplastics in aquatic environment using a home-built micro-Raman spectroscopic set up
AI summary Read the abstract
Researchers built an affordable micro-Raman spectroscopy system capable of identifying microplastics in water samples, offering a low-cost alternative to expensive commercial equipment. The system could visualize, measure, and chemically identify different types of microplastic particles. This kind of accessible detection technology is important, especially for developing countries, because widespread monitoring of microplastic pollution in water sources is essential for protecting public health.
Classification of microplastics in field-collected stream water using a submersible single-shot lensless polarimetric holographic system
AI summary Read the abstract
Scientists built a compact, waterproof camera-like device that can be dropped directly into streams to detect and identify different types of microplastic pollution in real time, without needing to collect samples and bring them back to a lab. In tests using real (unfiltered) stream water, the tool correctly identified the type of plastic about 99% of the time, which could make it much faster and easier to track where microplastic pollution is coming from and how much is in our waterways, an important step since these plastics can end up in the water we drink and the fish we eat.
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.