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Exploratory analysis of hyperspectral FTIR data obtained from environmental microplastics samples
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Hyperspectral infrared imaging is an effective method for finding and characterizing microplastics in environmental samples, and this paper explores analytical approaches for extracting useful information from the large datasets it generates. Better analytical tools make it faster and more accurate to identify and classify microplastics in real-world samples.
Hyperspectral imaging of environmental samples with infrared microscopes is one of the preferred methods to find and characterize microplastics.
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When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.