首页|Beijing Normal University Reports Findings in Machine Learning (Differentiating Microplastics from Natural Particles in Aqueous Suspensions Using Flow Cytometry with Machine Learning)
Beijing Normal University Reports Findings in Machine Learning (Differentiating Microplastics from Natural Particles in Aqueous Suspensions Using Flow Cytometry with Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Microplastics (MPs) in nat ural waters are heterogeneously mixed with other natural particles including alg al cells and suspended sediments. An easy-to-use and rapid method for directly m easuring and distinguishing MPs from other naturally present colloids in the env ironment would expedite analytical workflows.” The news correspondents obtained a quote from the research from Beijing Normal U niversity, “Here, we established a database of MP scattering and fluorescence pr operties, either alone or in mixtures with natural particles, by stain-free flow cytometry. The resulting high-dimensional data were analyzed using machine lear ning approaches, either unsupervised (e.g., viSNE) or supervised (e.g., random f orest algorithms). We assessed our approach in identifying and quantifying model MPs of diverse sizes, morphologies, and polymer compositions in various suspens ions including phototrophic microorganisms, suspended biofilms, mineral particle s, and sediment. We could precisely quantify MPs in microbial phototrophs and na tural sediments with high organic carbon by both machine learning models (identi fication accuracies over 93 %), although it was not possible to dist inguish between different MP sizes or polymer compositions. By testing the resul ting method in environmental samples through spiking MPs into freshwater samples , we further highlight the applicability of the method to be used as a rapid scr eening tool for MPs.”
BeijingPeople’s Republic of ChinaAsi aCyborgsCytometryEmerging TechnologiesHealth and MedicineMachine Learn ing
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