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Beach microplastic images
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This study investigated the effects of polyester microfiber exposure on the Pacific oyster's immune system, examining hemocyte activity and immune gene expression following microfiber ingestion. The findings demonstrate that textile microfibers can impair bivalve immunity, potentially increasing susceptibility to pathogens in microfiber-contaminated coastal waters.
This dataset contains high-resolution images of microplastics collected on a sandy beach under real environmental conditions. The images were acquired at Las Canteras Beach (28°08′02″N, 15°26′30″W), located in Las Palmas de Gran Canaria, Spain. Images were captured at a height of approximately 1 meter using a digital camera and a smartphone, and include different sand types, illumination conditions, and the presence of natural debris such as rocks, shells, and organic material. The dataset is annotated at pixel level for semantic segmentation, where microplastic particles are labeled against the background. The images were divided into 256x256 pixel patches, resulting in a dataset of annotated image patches suitable for training and evaluating deep learning models for microplastic detection and segmentation.
More Papers Like This
Beach microplastic images
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This study isolated Bacillus strains from Vietnamese environments capable of degrading polyethylene, characterizing their enzymatic activity and plastic surface colonization. The findings demonstrate biodegradation potential in locally isolated bacteria, with relevance for developing Vietnam-specific plastic waste bioremediation strategies.
Monitoring of contamination by microplastics on sandy beaches at Vulcano Island (Sicily, Italy) by hyperspectral imaging
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Researchers monitored microplastic contamination on two sandy beaches at Vulcano Island, Sicily, using hyperspectral imaging for polymer identification. They found concentrations ranging from 0.27 to 1.35 particles per kilogram of dry sand, with fragments being the most common category and polyethylene and polypropylene the dominant polymer types. The study employed automated image analysis to characterize morphological attributes of the microplastics and assessed potential emission sources.
Dataset of microscopic images and infrared spectra of beach sediment samples from Juara, Salang, and Tulai in Tioman Island, Malaysia
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This dataset paper provides microscopic images and infrared spectra of beach sediment particles — including microplastics — collected from three beaches on Tioman Island, Malaysia. The data, covering particles in both the microplastic (<5 mm) and macroplastic (>5 mm) size ranges, is intended as a reference resource for environmental monitoring and pollution studies in marine ecosystems. Making such raw spectral and imaging data publicly available is important for building the comparative databases needed to standardize microplastic identification methods across different research groups.
Detection of Microplastics in Coastal Environments Based on Semantic Segmentation
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Researchers developed a deep learning semantic segmentation approach for detecting microplastics on sandy beaches at the pixel level, evaluating 12 models including U-Net variants and transformer architectures under real-world conditions.
Processed NIR-HSI and self-organizing map dataset for microplastic classification on sandy substrates
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Scientists have developed a camera-based scanning technique that can spot and map tiny plastic bits (microplastics) hiding in sand, without digging through it or destroying samples. This dataset provides the underlying reference data and computer models used to identify different plastic types, which could help researchers monitor beach pollution more efficiently, an important step since microplastics can end up in the food chain and, eventually, in us.
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.