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Title: A fast fluorescence background suppression method for Raman spectroscopy based on stepwise spectral reconstruction
Authors: Chen, Shuo
Kong, Lingmin
Xu, Wenbin
Cui, Xiaoyu
Liu, Quan
Keywords: Biomedical Signal Processing
DRNTU::Engineering::Chemical engineering
Raman Spectroscopy
Issue Date: 2018
Source: Chen, S., Kong, L., Xu, W., Cui, X., & Liu, Q. (2018). A fast fluorescence background suppression method for Raman spectroscopy based on stepwise spectral reconstruction. IEEE Access, 6, 67709-67717. doi: 10.1109/ACCESS.2018.2879160
Series/Report no.: IEEE Access
Abstract: Raman spectroscopy is a rapid and non-destructive technique for detecting unique spectral fingerprints from biological samples. Raw Raman spectra often come with strong fluorescence background that makes spectral interpretation challenging. Although fluorescence background can be suppressed experimentally, this approach requires sophisticated and costly instruments. For convenience and cost-effectiveness, numerical methods have been used frequently to remove fluorescence background. Unfortunately, many of such methods suffer from long computation time. Therefore, a fast numerical method for fluorescence suppression is highly desirable especially in Raman spectroscopic imaging where Raman measurements from many pixels need to be processed rapidly. In response to this demand, we propose a fast numerical method for fluorescence background suppression based on the strategy of stepwise spectral reconstruction that we previously developed. Compared with traditional computational methods, including polynomial fitting, wavelet transform, Fourier transform, and peak detection, our results consistently show significant advantages in both accuracy and computational efficiency when tested on Raman spectra measured from phantoms and cells as well as surfaced enhanced Raman spectra from blood serum samples. In particular, our method yields clean Raman spectra closest to the reference results generated by polynomial fitting while several orders of magnitude faster than others. Therefore, the proposed fast fluorescence suppression method is promising in Raman spectroscopic imaging or related application in which high-computation efficiency is critical and a calibration dataset is available.
DOI: 10.1109/ACCESS.2018.2879160
Rights: © 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See for more information.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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