Microsecond fingerprint stimulated Raman spectroscopic imaging by ultrafast tuning and spatial-spectral learning.

Published on May 24, 2021in Nature Communications14.919
· DOI :10.1038/S41467-021-23202-Z
Haonan Lin9
Estimated H-index: 9
(BU: Boston University),
Hyeon Jeong Lee11
Estimated H-index: 11
(ZJU: Zhejiang University)
+ 8 AuthorsJi-Xin Cheng84
Estimated H-index: 84
(BU: Boston University)
Label-free vibrational imaging by stimulated Raman scattering (SRS) provides unprecedented insight into real-time chemical distributions. Specifically, SRS in the fingerprint region (400–1800 cm−1) can resolve multiple chemicals in a complex bio-environment. However, due to the intrinsic weak Raman cross-sections and the lack of ultrafast spectral acquisition schemes with high spectral fidelity, SRS in the fingerprint region is not viable for studying living cells or large-scale tissue samples. Here, we report a fingerprint spectroscopic SRS platform that acquires a distortion-free SRS spectrum at 10 cm−1 spectral resolution within 20 µs using a polygon scanner. Meanwhile, we significantly improve the signal-to-noise ratio by employing a spatial-spectral residual learning network, reaching a level comparable to that with 100 times integration. Collectively, our system enables high-speed vibrational spectroscopic imaging of multiple biomolecules in samples ranging from a single live microbe to a tissue slice. The authors employ a polygon-based ultrafast delay scanner and a deep learning framework for acquiring stimulated Raman scattering spectrum with high spectral and temporal resolution. They demonstrate high-speed imaging and tracking of multiple biomolecules in the fingerprint region.
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Stimulated Raman scattering (SRS) microscopy is a label-free quantitative chemical imaging technique that has demonstrated great utility in biomedical imaging applications ranging from real-time stain-free histopathology to live animal imaging. However, similar to many other nonlinear optical imaging techniques, SRS images often suffer from low signal to noise ratio (SNR) due to absorption and scattering of light in tissue as well as the limitation in applicable power to minimize photodamage. We...
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Increasing image acquisition speed of a spectroscopic imaging technique opens the door for real-time detection of molecules in living cells. Spectroscopic stimulated Raman scattering imaging is a nondestructive, label-free technique for detecting the chemical fingerprints of biological molecules. However, its relatively slow image acquisition speed has limited its use. This led Ji-Xin Cheng and colleagues from Boston University and Purdue University in the United States to develop a method that ...
Oct 1, 2017 in ICCV (International Conference on Computer Vision)
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