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Wide-field microplastic identification based on spectrum and deep learning
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Researchers developed a wide-field dispersion imaging system capable of capturing real-time spectral images at low cost and demonstrated its high accuracy for identifying microplastic materials by polymer type. The system combines spectral analysis with deep learning to enable rapid, large-area microplastic identification in environmental samples.
We present a wide-field dispersion system to capture spectral images with low cost and real-time imaging capability. The system demonstrates a high level of accuracy in identifying microplastic materials.
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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.