Wavelength-swept spontaneous Raman spectroscopy system improves fiber-based collection efficiency for whole brain tissue classification

Elahe Parham; Antoine Rousseau; Mireille Quémener; Martin Parent; Daniel C. Côté

doi:10.1117/1.NPh.11.2.025007

19 June 2024 Wavelength-swept spontaneous Raman spectroscopy system improves fiber-based collection efficiency for whole brain tissue classification

Elahe Parham, Antoine Rousseau, Mireille Quémener, Martin Parent, Daniel C. Côté

Author Affiliations +

Neurophotonics, Vol. 11, Issue 2, 025007 (June 2024). https://doi.org/10.1117/1.NPh.11.2.025007

Abstract

Significance

Raman spectroscopy is a valuable technique for tissue identification, but its conventional implementation is hindered by low efficiency due to scattering. Addressing this limitation, we are further developing the wavelength-swept Raman spectroscopy approach.

Aim

We aim to enhance Raman signal detection by employing a laser capable of sweeping over a wide wavelength range to sequentially excite tissue with different wavelengths, paired with a photodetector featuring a fixed narrow-bandpass filter for collecting the Raman signal at a specific wavelength.

Approach

We experimentally validate our technique using a fiber-based swept-source Raman spectroscopy setup. In addition, simulations are conducted to assess the efficacy of our approach in comparison with conventional spectrometer-based Raman spectroscopy.

Results

Our simulations reveal that the wavelength-swept configuration leads to a significantly stronger signal compared with conventional spectrometer-based Raman spectroscopy. Experimentally, our setup demonstrates an improvement of at least 200× in photon detection compared with the spectrometer-based setup. Furthermore, data acquired from different regions of a fixed monkey brain using our technique achieves 99% accuracy in classification via k-nearest neighbor analysis.

Conclusions

Our study showcases the potential of wavelength-swept Raman spectroscopy for tissue identification, particularly in highly scattering media, such as the brain. The developed technique offers enhanced signal detection capabilities, paving the way for future in vivo applications in tissue characterization.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Elahe Parham, Antoine Rousseau, Mireille Quémener, Martin Parent, and Daniel C. Côté "Wavelength-swept spontaneous Raman spectroscopy system improves fiber-based collection efficiency for whole brain tissue classification," Neurophotonics 11(2), 025007 (19 June 2024). https://doi.org/10.1117/1.NPh.11.2.025007

Received: 15 February 2024; Accepted: 31 May 2024; Published: 19 June 2024

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KEYWORDS

Raman spectroscopy

Spectroscopy

Sensors

Signal to noise ratio

Tissues

Raman scattering

Brain

Significance

Aim

Approach

Results

Conclusions

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