Fluorescence and noise subtraction from Raman spectra by using wavelets

  • Authors:

  • A. E. Villanueva-Luna;J. Castro-Ramos;S. Vazquez-Montiel;A. Flores-Gil;J. A. Delgado-Atencio;E. E. Orozco-Guillen

  • Affiliations:

  • Instituto Nacional de Astrofíisica, Óptica y Electrónica, Tonantzintla, Puebla, México;Instituto Nacional de Astrofíisica, Óptica y Electrónica, Tonantzintla, Puebla, México;Instituto Nacional de Astrofíisica, Óptica y Electrónica, Tonantzintla, Puebla, México;Universidad Autónoma del Carmen. C. 56, Campeche, México;Instituto Nacional de Astrofíisica, Óptica y Electrónica, Tonantzintla, Puebla, México;Facultad Experimental de Ciencia y Tecnología, Departamento de Física, Universidad de Carabobo, Valencia, Venezuela

  • Venue:
  • Optical Memory and Neural Networks
  • Year:
  • 2010

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Abstract

We develop a technique to remove the fluorescence background in the Raman spectrum. The technique is based in wavelets theory, using symlets and biorthogonals wavelets, allowing us to obtain better accuracy in the determination of spectral peaks. We test the method in Raman spectra from 300---1800 (cm驴1) range, of different biological samples, which were excited with a 785 nm laser, and we were able to make assignation of spectral peaks of cow bone, diiodine drug, pig and chicken bone. Our results of peaks assignation are somewhat comparable with those obtained with spectral software, which is specialized to analyze astronomical spectra, that is based in polynomial fitting. However, our method is friendly and easy to apply to Raman spectra.