Improving signal-to-noise ratio of Raman measurements based on ensemble learning approachImproving signal-to-noise ratio of Raman measurements based on ensemble learning approachY. Jia et al.

被引：0
|
作者：
Yufei Jia [1 ]
Yuning Gao [1 ]
Wenbin Xu [2 ]
Yunxin Wang [1 ]
Zejun Yan [3 ]
Keren Chen [4 ]
Shuo Chen [1 ]
机构：
[1] Northeastern University,College of Medicine and Biological Information Engineering
[2] National Key Laboratory of Scattering and Radiation,Department of Urology
[3] The First Affiliated Hospital of Ningbo University,Foshan Graduate School of Innovation
[4] Northeastern University,Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education
[5] Northeastern University,undefined
来源：
Analytical and Bioanalytical Chemistry | 2025年 / 417卷 / 3期
关键词：
Raman spectroscopy; Denoising; Ensemble learning; Wiener estimation; U-Net;
D O I：
10.1007/s00216-024-05676-0
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：641 / 652
页数：11
相关论文
共 14 条
  • [1] Improving signal-to-noise ratio of Raman measurements based on ensemble learning approach
    Jia, Yufei
    Gao, Yuning
    Xu, Wenbin
    Wang, Yunxin
    Yan, Zejun
    Chen, Keren
    Chen, Shuo
    ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2025, 417 (03) : 641 - 652
  • [2] Denoising method for Raman spectra with low signal-to-noise ratio based on feature extraction
    Zhao, X. Y.
    Liu, G. Y.
    Sui, Y. T.
    Xu, M.
    Tong, L.
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2021, 250
  • [3] Deep learning-based ultra-fast identification of Raman spectra with low signal-to-noise ratio
    Liu, Kunxiang
    Chen, Fuyuan
    Shang, Lindong
    Wang, Yuntong
    Peng, Hao
    Liu, Bo
    Li, Bei
    JOURNAL OF BIOPHOTONICS, 2024, 17 (01)
  • [4] Signal-to-noise ratio enhancement for Raman spectra based on optimized Raman spectrometer and convolutional denoising autoencoder
    Fan, Xian-guang
    Zeng, Yingjie
    Zhi, Yu-Liang
    Nie, Ting
    Xu, Ying-jie
    Wang, Xin
    JOURNAL OF RAMAN SPECTROSCOPY, 2021, 52 (04) : 890 - 900
  • [5] A wavelet-based method for improving signal-to-noise ratio and contrast in MR images
    Alexander, ME
    Baumgartner, R
    Summers, AR
    Windischberger, C
    Klarhoefer, M
    Moser, E
    Somorjai, RL
    MAGNETIC RESONANCE IMAGING, 2000, 18 (02) : 169 - 180
  • [6] Implications of laser light characteristics on the Raman signal-to-noise ratio in diagnostic analysis of glioblastoma multiforme
    Clary, CE
    Mirov, SB
    Gillespie, GY
    OPTICAL BIOPSY II, PROCEEDINGS OF, 1998, 3250 : 2 - 7
  • [7] An automatic method for accurate signal-to-noise ratio estimation and baseline correction of Raman spectra of environmental microplastics
    Yang, Zijiang
    Nagashima, Hiroya
    Murat, Celik
    Arakawa, Hisayuki
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2025, 325
  • [8] Radon transform-based microseismic event detection and signal-to-noise ratio enhancement
    Sabbione, Juan I.
    Sacchi, Mauricio D.
    Velis, Danilo R.
    JOURNAL OF APPLIED GEOPHYSICS, 2015, 113 : 51 - 63
  • [9] Deep learning denoiser assisted roughness measurements extraction from thin resists with low Signal-to-Noise Ratio (SNR) SEM images: analysis with SMILE
    Sacchi, Sara
    Dey, Bappaditya
    Mochi, Iacopo
    Halder, Sandip
    Leray, Philippe
    INTERNATIONAL CONFERENCE ON EXTREME ULTRAVIOLET LITHOGRAPHY 2023, 2023, 12750
  • [10] Analysis of the alteration in the optical configuration of Raman spectrometer: Optimization of signal-to-noise ratio (SNR) in a specific wavelength range of clinical interest
    Lazaro, Joao Carlos
    de Lima, Carlos J.
    Moreira, Leonardo M.
    Silveira, Landulfo, Jr.
    da Silveira, Nelson J. F.
    Villaverde, Antonio Balbin
    Pacheco, Marcos Tadeu T.
    SPECTROSCOPY-AN INTERNATIONAL JOURNAL, 2008, 22 (06): : 467 - 474
12