Stimulated Raman scattering imaging by continuous-wave laser excitation

Hu, Chun Rui; Slipchenko, Mikhail N.; Wang, Ping; Wang, Pu; Lin, Jiandie D.; Simpson, Garth J.; Hu, Bing; Cheng, Ji

doi:10.1364/ol.38.001479

Cited by 39 publications

(27 citation statements)

References 16 publications

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“…Recently, nonlinear optical microscopy imaging techniques such as stimulated Raman spectroscopy (SRS) and coherent anti-Stokes Raman scattering (CARS), have become powerful tools for label-free imaging in cells and tissues as they enable deep tissue imaging that is non-destructive, has biochemical specificity, and scalable resolution [53–55]. Previous studies have demonstrated the potential of this approach to identify patients with gradually progressive fibrotic processes such as NAFLD [56], fatty liver disease (FLD) and cirrhosis [57].…”

Section: Resultsmentioning

confidence: 99%

Development of a classification model for non‐alcoholic steatohepatitis (NASH) using confocal Raman micro‐spectroscopy

Yan

Kang

et al. 2017

Journal of Biophotonics

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Non-alcoholic fatty liver disease (NAFLD) is the most common liver disorder in developed countries [1]. A subset of individuals with NAFLD progress to non-alcoholic steatohepatitis (NASH), an advanced form of NAFLD which predisposes individuals to cirrhosis, liver failure and hepatocellular carcinoma. The current gold standard for NASH diagnosis and staging is based on histological evaluation, which is largely semi-quantitative and subjective. To address the need for an automated and objective approach to NASH detection, we combined Raman micro-spectroscopy and machine learning techniques to develop a classification model based on a well-established NASH mouse model, using spectrum pre-processing, biochemical component analysis (BCA) and logistic regression. By employing a selected pool of biochemical components, we identified biochemical changes specific to NASH and show that the classification model is capable of accurately detecting NASH (AUC=0.85–0.87) in mice. The unique biochemical fingerprint generated in this study may serve as a useful criterion to be leveraged for further validation in clinical samples.

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Section: Resultsmentioning

confidence: 99%

Development of a classification model for non‐alcoholic steatohepatitis (NASH) using confocal Raman micro‐spectroscopy

Yan

Kang

et al. 2017

Journal of Biophotonics

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“…For optimal noise rejection, signal and reference beam powers should be equal. In laser scanning microscopy, because the non-uniformity of the refractive index and stationary absorption in the sample cause the probe beam to vary in intensity during the sample scan, an auto-balanced photodetector is used to compensate for the intensity imbalance between the signal and reference beams [31,32]. However, the scan speed is limited by the response time of the autobalancing loop.…”

Section: Improvement In Snr By the Spatially Segmented Balanced Detecmentioning

confidence: 99%

Photothermal Microscopy for High Sensitivity and High Resolution Absorption Contrast Imaging of Biological Tissues

Miyazaki

Kobayahsi

2017

Photonics

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Photothermal microscopy is useful to visualize the distribution of non-fluorescence chromoproteins in biological specimens. Here, we developed a high sensitivity and high resolution photothermal microscopy with low-cost and compact laser diodes as light sources. A new detection scheme for improving signal to noise ratio more than 4-fold is presented. It is demonstrated that spatial resolution in photothermal microscopy is up to nearly twice as high as that in the conventional widefield microscopy. Furthermore, we demonstrated the ability for distinguishing or identifying biological molecules with simultaneous muti-wavelength imaging. Simultaneous photothermal and fluorescence imaging of mouse brain tissue was conducted to visualize both neurons expressing yellow fluorescent protein and endogenous non-fluorescent chromophores.

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“…The combinatorial power n is n ¼ 3 for CARS-type measurements and n ¼ 2 for SRStype experiments. Although CRS microscopy can, in principle, be carried out with cw lasers, 43 the use of pulsed excitation has the distinct advantage of providing high peak intensities while the average power of the incident light remains at tolerable levels. Equation (9) captures the growth of the overall signal if the pulse width τ is decreased.…”

Section: Light Sourcesmentioning

confidence: 99%

Biological imaging with coherent Raman scattering microscopy: a tutorial

et al. 2014

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Coherent Raman scattering (CRS) microscopy is gaining acceptance as a valuable addition to the imaging toolset of biological researchers. Optimal use of this label-free imaging technique benefits from a basic understanding of the physical principles and technical merits of the CRS microscope. This tutorial offers qualitative explanations of the principles behind CRS microscopy and provides information about the applicability of this nonlinear optical imaging approach for biological research.

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Stimulated Raman scattering imaging by continuous-wave laser excitation

Cited by 39 publications

References 16 publications

Development of a classification model for non‐alcoholic steatohepatitis (NASH) using confocal Raman micro‐spectroscopy

Development of a classification model for non‐alcoholic steatohepatitis (NASH) using confocal Raman micro‐spectroscopy

Photothermal Microscopy for High Sensitivity and High Resolution Absorption Contrast Imaging of Biological Tissues

Biological imaging with coherent Raman scattering microscopy: a tutorial

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