Acta Optica Sinica, Volume. 42, Issue 22, 2230001(2022)
Fluorescence Background Subtraction Algorithm of UV Raman Based on Morphology and Polynomial Fitting
Fig. 1. Raman and fluorescence spectral ranges (excitation light wavelength is 266 nm)
Fig. 2. Baseline correction. (a) Morphological algorithm; (b) polynomial fitting algorithm
Fig. 4. Comparison of correction effects for different baselines using different methods. (a) Sine function; (b) Gaussian function;(c) Sigmoid function; (d) logarithmic function
Fig. 6. Sample preparation and experimental device. (a) Sample preparation; (b) UV Raman spectroscopy setup
Fig. 8. Results of baseline correction of potassium nitrate powder on different substrates obtained by Mor+poly and airPLS algorithms. (a) Paper; (b) transparent acrylic sheet; (c) blue acrylic sheet; (d) metal aluminum
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Ganshang Si, Jiaxiang Liu, Zhengang Li, Zhiqiang Ning, Yonghua Fang. Fluorescence Background Subtraction Algorithm of UV Raman Based on Morphology and Polynomial Fitting[J]. Acta Optica Sinica, 2022, 42(22): 2230001
Category: Spectroscopy
Received: Apr. 15, 2022
Accepted: May. 25, 2022
Published Online: Nov. 7, 2022
The Author Email: Fang Yonghua (yhfang@aiofm.ac.cn)