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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:拉曼光谱是一种光电技术,可用于评估生物样品的化学成分。拉曼光谱法已被证明是一种强大的分类工具,可用于研究与各种癌症相关的疾病,包括膀胱癌,乳腺癌和宫颈癌。拉曼散射是一种固有的弱过程,每107个光子中就有1个受到散射。因此,来自记录系统的噪声可能会对信号质量及其分类适用性产生重大影响。从电荷耦合器件获得光谱时,不同的相机设置可能会导致噪声性能显着不同。本文研究了从电荷耦合器件中获取信号的实际方面,以及积分时间和多次采集对拉曼光谱信噪比的影响,特别是生物学样品。噪声的主要来源是散粒噪声,CCD暗电流,读出噪声和宇宙射线伪像。散粒噪声和暗电流噪声与时间有关,因此在选择积分时间时需要实际考虑。读出噪声是每个单独记录中固有的,在将频谱平均在一起时可能会加重噪声。我们的结果表明,读取参数和读取模式会极大地影响信噪比。我们还将讨论可以减轻这些影响的实验条件和处理方法。

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