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Evaluation of Shifted Excitation Raman Difference Spectroscopy and Comparison to Computational Background Correction Methods Applied to Biochemical Raman Spectra

机译:位移激发拉曼光谱的评价及与生化拉曼光谱计算背景校正方法的比较

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摘要

Raman spectroscopy provides label-free biochemical information from tissue samples without complicated sample preparation. The clinical capability of Raman spectroscopy has been demonstrated in a wide range of in vitro and in vivo applications. However, a challenge for in vivo applications is the simultaneous excitation of auto-fluorescence in the majority of tissues of interest, such as liver, bladder, brain, and others. Raman bands are then superimposed on a fluorescence background, which can be several orders of magnitude larger than the Raman signal. To eliminate the disturbing fluorescence background, several approaches are available. Among instrumentational methods shifted excitation Raman difference spectroscopy (SERDS) has been widely applied and studied. Similarly, computational techniques, for instance extended multiplicative scatter correction (EMSC), have also been employed to remove undesired background contributions. Here, we present a theoretical and experimental evaluation and comparison of fluorescence background removal approaches for Raman spectra based on SERDS and EMSC.
机译:拉曼光谱法提供了来自组织样品的无标记生化信息,而无需进行复杂的样品制备。拉曼光谱的临床能力已在广泛的体外和体内应用中得到证明。但是,体内应用面临的挑战是在大多数目标组织(例如肝,膀胱,脑等)中同时激发自发荧光。然后将拉曼谱带叠加在荧光背景上,该背景可能比拉曼信号大几个数量级。为了消除令人不安的荧光背景,可以使用几种方法。在仪器方法中,位移激发拉曼差光谱法(SERDS)已得到广泛应用和研究。类似地,计算技术,例如扩展的乘积散射校正(EMSC),也已被用来去除不需要的背景贡献。在这里,我们提出了基于SERDS和EMSC的拉曼光谱荧光背景去除方法的理论和实验评估以及比较。

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