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HMPD: A Novel Dataset for Microplastics Classification with Digital Holography
Summary
Researchers developed HMPD, a novel digital holography dataset for training machine learning models to classify microplastic microfibers shed from synthetic textiles during washing. Automated, high-throughput detection methods like this are needed to monitor laundry-derived microfibers — one of the largest contributors to environmental microplastic loads — at scale in wastewater and environmental samples.
Microfiber shedding caused by the washing of synthetic textiles is widely recognized as a major source of environmental microplastic pollution. Such a phenomenon pushed the scientific community to develop ever better methodologies for the detection and the...