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

Autor: Lin H; Department of Biomedical Engineering, Boston University, Boston, MA, USA.; Photonics Center, Boston University, Boston, MA, USA., Lee HJ; Photonics Center, Boston University, Boston, MA, USA.; Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA.; College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou, PR China., Tague N; Department of Biomedical Engineering, Boston University, Boston, MA, USA., Lugagne JB; Department of Biomedical Engineering, Boston University, Boston, MA, USA., Zong C; Photonics Center, Boston University, Boston, MA, USA.; Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA., Deng F; Photonics Center, Boston University, Boston, MA, USA.; Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA., Shin J; Department of Biomedical Engineering, Boston University, Boston, MA, USA., Tian L; Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA., Wong W; Department of Biomedical Engineering, Boston University, Boston, MA, USA.; Biological Design Center, Boston University, Boston, MA, USA., Dunlop MJ; Department of Biomedical Engineering, Boston University, Boston, MA, USA.; Biological Design Center, Boston University, Boston, MA, USA., Cheng JX; Department of Biomedical Engineering, Boston University, Boston, MA, USA. jxcheng@bu.edu.; Photonics Center, Boston University, Boston, MA, USA. jxcheng@bu.edu.; Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA. jxcheng@bu.edu.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2021 May 24; Vol. 12 (1), pp. 3052. Date of Electronic Publication: 2021 May 24.
DOI: 10.1038/s41467-021-23202-z
Abstrakt: 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.
Databáze: MEDLINE
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