Laser & Optoelectronics Progress, Volume. 62, Issue 1, 0100005(2025)

Research Progress on Detection and Processing Algorithms for Solar-Blind Ultraviolet Raman Spectroscopy in Natural Environments

Yixin Guo*, Weilin Wang, Weiqi Jin, Yuqing He, Zongyu Guo, and Su Qiu
Author Affiliations
  • MOE Key Laboratory of Optoelectronic Imaging Technology and System, Beijing Institute of Technology, Beijing 100081, China
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    Figures & Tables(16)
    Noise reduction processing of Raman spectral signal of xylene[26]
    Signal decomposition method for noise reduction of soybean oil with low signal-to-noise ratio by Raman spectra[28]
    Comparison of ALWT algorithm with S-G filter and dWT for spectral simulation denoising (offset for visualization)[30]. (a) y1, noise 10%; (b) y2, noise 20%t; (c) y3, noise 30%
    DTDDW processing effect[31]. (a) Removal of pulse spikes; (b) noise reduction
    Raman spectral noise reduction results of cutoff optimized IDAR and other algorithms[37]. (a)(b) NaHCO3 powder; (c)(d) Vitamin C tablets
    Linear programming polynomial fitting baseline correction for Raman spectra of mouse liver[43]
    Adaptive B-spline baseline correction effect[45]
    GACspline baseline correction effect[48]
    Baseline correction for noise spectra by DSTAspline[51]
    Baseline correction effect based on dWT[54]. (a) Original spectrum; (b) wavelet noise reduction; (c) dWT low-frequency reconstruction spectrum and its first derivative; (d) Gaussian fitting reconstructed Raman peak
    AWFPSI correction effect on baseline[56]. (a) 7% glycerin and water; (b) 28% glycerin and water; (c) alcohol; (d) carbon tetrachloride; (e) polytetrafluoroethylene; (f) methanol
    Automatic Raman spectrum extraction based on CWT (noise reduction and baseline correction)[57]. (a) Raman spectrum of skin cancer tissue; (b) treatment effect
    Comparison of baseline correction effects of ALS, airPLS, and arPLS[60]. (a) Simulated Raman spectra; (b) true Raman spectral signals for 2, 6-dinitrotolune
    Baseline fitting comparison results of SEALS method and six other methods on simulated data[65]. (a) Convex strong fluorescent background; (b) exponential strong fluorescent background; (c) affected by noise and fluorescent background
    Improved piecewise linear fitting correction of 266 nm UV Raman spectral base[69]
    CVDE cluster visualization (10 classes) on non-preprocessed and preprocessed soybean oil Raman spectra
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    Yixin Guo, Weilin Wang, Weiqi Jin, Yuqing He, Zongyu Guo, Su Qiu. Research Progress on Detection and Processing Algorithms for Solar-Blind Ultraviolet Raman Spectroscopy in Natural Environments[J]. Laser & Optoelectronics Progress, 2025, 62(1): 0100005

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    Paper Information

    Category: Reviews

    Received: Apr. 2, 2024

    Accepted: May. 22, 2024

    Published Online: Jan. 20, 2025

    The Author Email:

    DOI:10.3788/LOP241012

    CSTR:32186.14.LOP241012

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