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首页> 外文期刊>Applied Spectroscopy Reviews: An International Journal of Principles, Methods, and Applications >Spectral unmixing combined with Raman imaging, a preferable analytic technique for molecule visualization
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Spectral unmixing combined with Raman imaging, a preferable analytic technique for molecule visualization

机译:光谱解密结合拉曼成像,一种用于分子可视化的优选分析技术

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This article reviews spectral unmixing used as a new method for Raman imaging. Raman spectroscopy explores the vibrational information about specific chemical bonds in molecules, which can be used for label-free molecular visualization. However, chemical bonds are usually shared among different molecules, which results in closed or mixed Raman peaks of many molecules. Therefore, the acquired spectra cannot be directly used to reconstruct the Raman images, as pure component spectra are hidden under the acquired spectra. Spectral unmixing is an effective method to provide a meaningful spectrum of each component with no priori spectral information and to also reconstruct the compositional distribution images. This article summarizes some representative spectral unmixing approaches used for Raman imaging and many related researches. This review strives to introduce the combination of spectral unmixing and Raman imaging as an efficient analytic technique to characterize various constituents and make subtle understanding of those complex structures.
机译:本文评论光谱解密用作拉曼成像的新方法。拉曼光谱学探讨了分子中特定化学键的振动信息,可用于无标记的分子可视化。然而,化学键通常在不同的分子中共享,这导致许多分子的闭合或混合拉曼峰。因此,所获取的光谱不能直接用于重建拉曼图像,因为纯分量谱被隐藏在所获取的光谱下。光谱解密是一种有效的方法,用于提供没有优先频谱信息的每个组件的有意义的频谱,也可以重建组成分布图像。本文总结了用于拉曼成像和许多相关研究的一些代表性的谱解密方法。本综述致力于将光谱解密和拉曼成像的组合引入一种有效的分析技术,以表征各种成分,并对这些复杂结构进行微妙的理解。

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