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用于荧光抑制的多激发拉曼光谱技术。

Multi-excitation Raman spectroscopy technique for fluorescence rejection.

作者信息

McCain Scott T, Willett Rebecca M, Brady David J

机构信息

Department of Electrical and Computer Engineering, Fitzpatrick Institute for Photonics, DukeUniversity, Durham, North Carolina 27708, USA.

出版信息

Opt Express. 2008 Jul 21;16(15):10975-91. doi: 10.1364/oe.16.010975.

Abstract

Multi-excitation Raman spectroscopy filters out Raman signals from a fluorescent background by sequentially using multiple excitation frequencies. The filtering method exploits the shift of the Raman spectra with excitation frequency and the static response of the fluorescent background. This technique builds upon previous work which used two slightly shifted excitations, Shifted Excitation Raman Difference Spectroscopy (SERDS), in order to filter the Raman signal. An Expectation-Maximization algorithm is used to estimate the Raman and fluorescence signals from multiple spectra acquired with slightly shifted excitation frequencies. In both simulation and experiment, the efficacy of the algorithm increases with the number of excitation frequencies even when holding the total excitation energy constant, such that the signal to noise ratio is inversely proportional to the number of excitation frequencies. In situations where the intense fluorescence causes significant shot noise compared to the weak Raman signals, the multi-excitation approach is more effective than non-iterative techniques such as polynomial background subtraction.

摘要

多激发拉曼光谱通过依次使用多个激发频率来滤除来自荧光背景的拉曼信号。该滤波方法利用了拉曼光谱随激发频率的移动以及荧光背景的静态响应。这项技术基于之前使用两个略有偏移的激发的工作,即偏移激发拉曼差分光谱(SERDS),以便滤除拉曼信号。期望最大化算法用于从以略有偏移的激发频率采集的多个光谱中估计拉曼信号和荧光信号。在模拟和实验中,即使总激发能量保持恒定,该算法的功效也会随着激发频率的数量增加而提高,使得信噪比与激发频率的数量成反比。在强荧光与弱拉曼信号相比导致显著散粒噪声的情况下,多激发方法比诸如多项式背景扣除等非迭代技术更有效。

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