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Updated: Jan 12, 2026

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
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在生物医学拉曼和里埃变换红外光谱学中,自动识别分离类的主要组件子空间

Dorota Jakubczyk1, Jan Jakub Kęsik2, Piotr Terlecki2

  • 1Department of Physics and Medical Engineering, Rzeszow University of Technology, Rzeszów, Poland.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|November 4, 2025
PubMed
概括

PCA AutoExplorer使用主要组件分析 (PCA) 三重组件自动识别了用于疾病诊断的关键光谱特征. 该工具通过严格排序光谱数据,增强了临床振动光谱中的生物标志物发现.

关键词:
生物医学分类生物医学分类里叶变换 红外光谱 红外光谱线性差异分析线性差异分析马哈拉诺比斯是距离的距离主要组件分析主要组件分析拉曼光谱法 拉曼光谱法频谱子空间排名 频谱子空间排名嵌入T分布的随机邻居嵌入.没有监督的学习学习.

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