Raman spectroscopy enhancement based on deep learning

Wei Qiao; Cong Li; Xingen Gao; Huali Jiang; Hongyi Zhang; Juqiang Lin

doi:10.1117/12.3056643

10 January 2025 Raman spectroscopy enhancement based on deep learning

Wei Qiao, Cong Li, Xingen Gao, Huali Jiang, Hongyi Zhang, Juqiang Lin

Author Affiliations +

Proceedings Volume 13507, Seventeenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2024); 1350706 (2025) https://doi.org/10.1117/12.3056643
Event: Seventeenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2024), 2024, Shaya, China

Abstract

Raman spectroscopy is an important analytical tool, but the weak intensity of Raman signals caused by Stokes shifts limits its practical applications. To enhance Raman signals, techniques such as Surface-Enhanced Raman Spectroscopy (SERS) and Stimulated Raman Scattering (SRS) are commonly used, but these methods rely on external enhancement agents and complex equipment. In this study, we propose a novel deep learning-based method that can directly enhance Raman signals without dependence on external agents or complicated setups. Experimental validation using Rhodamine 6G and Crystal Violet demonstrated significant signal enhancement. To verify the accuracy of the enhancement, we calculated the Root Mean Square Error (RMSE) and Normalized Mean Square Error (NMSE) for Rhodamine 6G, which were 534.2 and 0.21%, respectively, achieving a 209.1-fold signal enhancement. This approach demonstrates potential for directly amplifying weak Raman signals, offering new insights for advancing Raman spectroscopy applications across various fields.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wei Qiao, Cong Li, Xingen Gao, Huali Jiang, Hongyi Zhang, and Juqiang Lin "Raman spectroscopy enhancement based on deep learning", Proc. SPIE 13507, Seventeenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2024), 1350706 (10 January 2025); https://doi.org/10.1117/12.3056643

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE