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Acta Optica Sinica, Volume. 44, Issue 7, 0730001(2024)

Spatial Heterodyne Raman Spectral Baseline Correction Based on Improved Adaptive Iterative Re-Weighted Penalized Least Square Method

Yunfei Bai1,2,3, Haiyan Luo1,2,3, Zhiwei Li1,3, Yi Ding1,3, and Wei Xiong1,2,3、*
Author Affiliations
  • 1Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui , China
  • 2University of Science and Technology of China, Hefei 230026, Anhui , China
  • 3Key Laboratory of Optical Calibration and Characterization of Chinese Academy of Sciences, Hefei 230031, Anhui , China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (11)
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    References (23)
    Cited By (2)
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    Figures & Tables(11)
    Flow chart of algorithm

    Fig. 1. Flow chart of algorithm

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    Simulated Raman spectra with Baseline-1

    Fig. 2. Simulated Raman spectra with Baseline-1

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    Simulated Raman spectra with Baseline-2

    Fig. 3. Simulated Raman spectra with Baseline-2

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    Detection experimental site of spatial heterodyne Raman spectroscopy

    Fig. 4. Detection experimental site of spatial heterodyne Raman spectroscopy

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    Baseline fitting procedure of airPLS based on Raman peak truncation

    Fig. 5. Baseline fitting procedure of airPLS based on Raman peak truncation

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    Fitting results of each algorithm in Baseline-1. (a)-(d) are locally enlarged images of corresponding a-d in left graph

    Fig. 6. Fitting results of each algorithm in Baseline-1. (a)-(d) are locally enlarged images of corresponding a-d in left graph

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    Fitting results of each algorithm in Baseline-2. (a)-(d) are locally enlarged images of corresponding a-d in left graph

    Fig. 7. Fitting results of each algorithm in Baseline-2. (a)-(d) are locally enlarged images of corresponding a-d in left graph

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    Baseline correction results of lipstick Raman spectra

    Fig. 8. Baseline correction results of lipstick Raman spectra

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    • Table 1. Parameter settings of simulated Raman spectrum

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      Table 1. Parameter settings of simulated Raman spectrum

      ParameterBaseline-1Baseline-2
      a1×1041×104
      β4×1068×106
      f1.5×10-41
      γ9×1051×106
      δ1×10-31×10-3
      ρ1.72
      (a, b,c, d, e)(1.1×10-7, 5.6×10-5, -0.15, 110, 1×106)(1.1×10-7, 5.6×10-5, -0.15, 110, 1×106)

    • Table 2. Optimal parameter configuration used in each baseline fitting algorithm

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      Table 2. Optimal parameter configuration used in each baseline fitting algorithm

      ParameterBaseline-1Baseline-2
      Polyfita47
      DWTb（db4， 9）（db4， 7）
      VMDc(1×105, 0, 10, 1, 1×10-6)(1×105, 0, 10, 1, 1×10-5)
      airPLSd(7.2×107, 2, 0, 0, 1)(2.68×107, 2, 0, 0, 1)
      Proposede(0.18, 5, 0.01, 7.2×107, 2, 0, 0, 1)(0.18, 5, 0.01, 2.68×107, 2, 0, 0, 1)

    • Table 3. RMSE of each algorithm fitting baseline

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      Table 3. RMSE of each algorithm fitting baseline

      RMSEPolyfitairPLSDWTVMDProposed
      Baseline-1SNR is 1000.017620.019760.020100.021820.00216
      SNR is 500.017630.019760.020110.023160.00224
      SNR is 200.017650.019760.020140.022900.00254
      SNR is 50.017620.019920.020630.028390.00413
      Baseline-2SNR is 1000.019410.021590.026300.050960.00214
      SNR is 500.019410.021590.026300.050870.00219
      SNR is 200.019410.021580.026260.050780.00340
      SNR is 50.019540.021940.026870.051220.00514
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    Yunfei Bai, Haiyan Luo, Zhiwei Li, Yi Ding, Wei Xiong. Spatial Heterodyne Raman Spectral Baseline Correction Based on Improved Adaptive Iterative Re-Weighted Penalized Least Square Method[J]. Acta Optica Sinica, 2024, 44(7): 0730001

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    Paper Information

    Category: Spectroscopy

    Received: Dec. 11, 2023

    Accepted: Jan. 10, 2024

    Published Online: Apr. 11, 2024

    The Author Email: Xiong Wei (frank@aiofm.ac.cn)

    DOI:10.3788/AOS231913

    CSTR:32393.14.AOS231913

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology