Deep Learning-Based Spectrum Reconstruction Method for Raman Spectroscopy

doi:10.3390/coatings12081229

	Deep Learning-Based Spectrum Reconstruction Method for Raman Spectroscopy
	Zhou, Qian 3; Zou, Zhiyong 2; Han, Lin 1
刊名	COATINGS
	2022-08-01
卷号	12
关键词	Raman spectroscopy deep learning convolutional neural network spectral reconstruction
DOI	10.3390/coatings12081229
通讯作者	Zhou, Qian(optics_fight@126.com)
英文摘要	Raman spectroscopy, measured by a Raman spectrometer, is usually disturbed by the instrument response function and noise, which leads to certain measurement error and further affects the accuracy of substance identification. In this paper, we propose a spectral reconstruction method which combines the existing maximum a posteriori (MAP) method and deep learning (DL) to recover the degraded Raman spectrum. The proposed method first employs the MAP method to reconstruct the measured Raman spectra, so as to obtain preliminary estimated Raman spectra. Then, a convolutional neural network (CNN) is trained by using the preliminary estimated Raman spectra and the real Raman spectra to learn the mapping from the preliminary estimated Raman spectra to the real Raman spectra, so as to achieve a better spectral reconstruction effect than merely using the MAP method or a CNN. To prove the effectiveness of the proposed spectral reconstruction method, we employed the proposed method and some traditional spectral reconstruction methods to reconstruct the simulated and measured Raman spectra, respectively. The experimental results show that compared with traditional methods, the estimated Raman spectra reconstructed by the proposed method are closer to the real Raman spectra.
资助项目	National Key R&DProgram of China[2017YFE0301205]
WOS关键词	BLIND DECONVOLUTION ; BAYESIAN DECONVOLUTION ; BANDWIDTH CORRECTION ; ALGORITHM ; NOISE
WOS研究方向	Materials Science ; Physics
语种	英语
出版者	MDPI
WOS记录号	WOS:000845993300001
资助机构	National Key R&DProgram of China
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/131920]
专题	中国科学院合肥物质科学研究院
通讯作者	Zhou, Qian
作者单位	1.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei 230031, Peoples R China 2.Hefei Comprehens Natl Sci Ctr, Inst Energy, Hefei 230601, Peoples R China 3.Anhui Agr Univ, Sch Sci, Hefei 230036, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Qian,Zou, Zhiyong,Han, Lin. Deep Learning-Based Spectrum Reconstruction Method for Raman Spectroscopy[J]. COATINGS,2022,12.
APA	Zhou, Qian,Zou, Zhiyong,&Han, Lin.(2022).Deep Learning-Based Spectrum Reconstruction Method for Raman Spectroscopy.COATINGS,12.
MLA	Zhou, Qian,et al."Deep Learning-Based Spectrum Reconstruction Method for Raman Spectroscopy".COATINGS 12(2022).