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Updated: Jul 3, 2026

Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
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在微塑料分析中减少光谱混乱:U-Net深度学习方法

Jeonghyun Lim1, Juhui Seo1, Dongha Shin1,2,3

  • 1Department of Chemistry and Chemical Engineering, Inha University, Incheon 22212, Republic of Korea.

Analytical chemistry
|August 19, 2025
PubMed
概括

这项研究引入了U-net深度学习模型,用于使用拉曼光谱学准确识别微塑料. 该模型有效地区分聚乙烯和脂肪酸,克服了环境样本分析传统方法的局限性.

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相关概念视频

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.