Denoising Stimulated Raman Spectroscopic Images by Total Variation Minimization.
Denoising Stimulated Raman Spectroscopic Images by Total Variation Minimization.
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DOI：
10.1021/acs.jpcc.5b06980
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发表时间：
2015-08-20
期刊：
影响因子：
--
通讯作者：
Cheng JX
中科院分区：
文献类型：
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作者：
Liao CS;Choi JH;Zhang D;Chan SH;Cheng JX
高速相干拉曼散射成像通过可视化靶分子或细胞内细胞器的时空动力学，为揭示细胞机制开辟了新的途径。通过在MHz调制频率下从激光器提取信号，电流受激拉曼散射（SRS）显微镜已经达到散粒噪声限制的检测灵敏度。SRS显微镜中基于激光的本机振荡器不仅产生高水平的信号，而且还产生大的散粒噪声，这降低了图像质量和光谱保真度。在这里，我们展示了一种去噪算法，通过总变分最小化来去除空间域和谱域中的噪声。SRS光谱图像的信噪比提高了57倍，稀释的二甲基亚砜溶液和生物组织的15倍。原来埋藏在噪声中的目标分子的弱拉曼峰被解开。将去噪算法与多元曲线分辨率相结合，可以区分C.优雅总之，我们的方法显着提高了检测灵敏度，而无需帧平均，这对于体内光谱成像是有用的。
High-speed coherent Raman scattering imaging is opening a new avenue to unveiling the cellular machinery by visualizing the spatio-temporal dynamics of target molecules or intracellular organelles. By extracting signals from the laser at MHz modulation frequency, current stimulated Raman scattering (SRS) microscopy has reached shot noise limited detection sensitivity. The laser-based local oscillator in SRS microscopy not only generates high levels of signal, but also delivers a large shot noise which degrades image quality and spectral fidelity. Here, we demonstrate a denoising algorithm that removes the noise in both spatial and spectral domains by total variation minimization. The signal-to-noise ratio of SRS spectroscopic images was improved by up to 57 times for diluted dimethyl sulfoxide solutions and by 15 times for biological tissues. Weak Raman peaks of target molecules originally buried in the noise were unraveled. Coupling the denoising algorithm with multivariate curve resolution allowed discrimination of fat stores from protein-rich organelles in C. elegans. Together, our method significantly improved detection sensitivity without frame averaging, which can be useful for in vivo spectroscopic imaging.