Key Laboratory of Optoelectronic Devices and Systems of Guangdong Province and Ministry of Education, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, China.
J Biophotonics. 2021 Aug;14(8):e202100080. doi: 10.1002/jbio.202100080. Epub 2021 May 24.
Stimulated Raman scattering (SRS) microscopy is a nonlinear optical imaging method for visualizing chemical content based on molecular vibrational bonds. However, the imaging speed and sensitivity are currently limited by the noise of the light beam probing the Raman process. In this paper, we present a fast non-average denoising and high-precision Raman shift extraction method, based on a self-reinforcing signal-to-noise ratio (SNR) enhancement algorithm, for SRS spectroscopy and microscopy. We compare the results of this method with the filtering methods and the reported experimental methods to demonstrate its high efficiency and high precision in spectral denoising, Raman peak extraction and image quality improvement. We demonstrate a maximum SNR enhancement of 10.3 dB in fixed tissue imaging and 11.9 dB in vivo imaging. This method reduces the cost and complexity of the SRS system and allows for high-quality SRS imaging without use of special laser, complicated system design and Raman tags.
受激拉曼散射（SRS）显微镜是一种基于分子振动键可视化化学含量的非线性光学成像方法。然而，目前成像速度和灵敏度受到探测拉曼过程的光束噪声的限制。在本文中，我们提出了一种快速非平均去噪和高精度拉曼频移提取方法，基于自增强信噪比（SNR）增强算法，用于 SRS 光谱和显微镜。我们将该方法的结果与滤波方法和报道的实验方法进行比较，以证明其在光谱去噪、拉曼峰提取和图像质量改善方面的高效率和高精度。我们在固定组织成像中实现了最大 10.3dB 的 SNR 增强，在体内成像中实现了最大 11.9dB 的 SNR 增强。该方法降低了 SRS 系统的成本和复杂性，并允许在不使用特殊激光、复杂系统设计和拉曼标记的情况下进行高质量的 SRS 成像。
