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Signal to noise ratio of Raman spectra of biological samples

机译:生物样品拉曼光谱的信噪比

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Raman microspectroscopy is an optoelectronic technique that can be used to evaluate the chemical composition of biological samples. Raman spectroscopy has been shown to be a powerful classification tool for the investigation of various cancer related diseases including bladder, breast and cervical cancer. Raman scattering is an inherently weak process with approximately 1 in 107 photons undergoing scattering. For this reason, noise from the recording system can have a significant impact on the quality of the signal and its suitability for classification. Different camera settings when obtaining spectra from charge-coupled devices can result in significantly different noise performance. This paper provides an investigation into practical aspects of retrieving the signal from the charge-coupled device, and the effects of integration time and multiple acquisitions on the signal to noise ratio of Raman spectra, with a particular focus on biological samples. The main sources of noise are shot noise, CCD dark current, readout noise, and cosmic ray artefacts. Shot noise and dark current noise are time dependent and so there are practical considerations when choosing an integration time. Readout noise is inherent in each individual recording, which may be compounded when averaging spectra together. Our results demonstrate that read parameters and read modes can greatly influence the signal to noise ratio. We also discuss experimental conditions and processing methods that can mitigate these effects.
机译:拉曼微穴位是一种光电技术,可用于评估生物样品的化学成分。拉曼光谱已被证明是一种强大的分类工具,用于调查各种癌症相关疾病,包括膀胱,乳腺和宫颈癌。拉曼散射是一种固有的弱方法,具有大约1的107光子,经历散射。因此,来自记录系统的噪声可以对信号的质量产生显着影响及其对分类的适用性。从充电耦合器件获取光谱时,不同的相机设置可能导致噪声性能显着。本文提供了对从电荷耦合器件检索信号的实际方面的调查,以及集成时间和多次采集对拉曼光谱的信噪比的影响,特别侧重于生物样品。主要的噪声源是射击噪声,CCD暗电流,读数噪声和宇宙射线艺术品。射击噪声和暗电流噪声是时间依赖性,因此在选择集成时间时存在实际的考虑因素。读数噪声在每个单独的记录中固有,当平均在一起时,可以复合。我们的结果表明,读取参数和读取模式可以大大影响信噪比。我们还讨论了可以减轻这些效果的实验条件和加工方法。

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