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Updated: Jan 18, 2026

Optimal Preparation of Formalin Fixed Samples for Peptide Based Matrix Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Workflows
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De-MSI:一种基于深度学习的数据否定方法,通过利用化学事先的知识来增强质谱成像.

Lei Guo1,2, Chengyi Xie2, Xin Diao2

  • 1Interdisciplinary Institute for Medical Engineering, Fuzhou University, Fuzhou 350108, China.

Analytical chemistry
|September 8, 2025
PubMed
概括

我们开发了De-MSI,这是一种深度学习方法,可以在不需要地面真相的情况下消除质谱成像 (MSI) 数据. 这种新的方法提高了MSI数据质量,以便更好地进行生物样本分析.

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