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通过PCA辅助自主监督深度学习,在质谱图像中有效地消除枪声

Claire Seydoux1, Matthew Bryan2, Jean-Paul Barnes2

  • 1Université Grenoble Alpes, CEA, IRIG - MEM, Grenoble 38000, France.

Analytical chemistry
|June 18, 2025
PubMed
概括

主要组件辅助的Noise2Void (PCA-n2v) 通过降低噪声来增强质谱成像 (MSI). 这种深度学习方法提高了分析复杂样本中微量分子的数据质量.

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High-Resolution Mass Spectrometry (HRMS)

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