• DocumentCode
    3627513
  • Title

    Decomposition of spectral data from analysis of biological materials

  • Author

    Zoltan Durcik;Jan Paralic;Jaroslav Kusnir;Katarina Dubayova

  • Author_Institution
    Department of Cybernetics and Artificial Intelligence, Technical University of Ko?ice, Slovak Republic
  • fYear
    2008
  • Firstpage
    285
  • Lastpage
    289
  • Abstract
    The main goal of this work was analysis of excitation-emission fluorescent data. Data are obtained using luminescent spectrophotometer by measuring fluorescence intensity of specific samples. In particular, we had data obtained from samples containing substances, which are called fluorophores. Various fluorophores and their combinations were located at first in the ultra-clean water and next, in synthetic urine. The goal was to analyze the possibility of backward decomposition of complex measurements´ data into single parts, corresponding to single fluorophores. As we show in this paper, this possibility has been experimentally verified as and brings a large potential for investigation of composite samples of various biological materials, which can lead e.g. to improved diagnostic methods in medicine.
  • Keywords
    "Data analysis","Spectral analysis","Biological materials","Fluorescence","Electrons","Atomic measurements","Medical diagnostic imaging","Biochemistry","Biochemical analysis","Chemistry"
  • Publisher
    ieee
  • Conference_Titel
    Applied Machine Intelligence and Informatics, 2008. SAMI 2008. 6th International Symposium on
  • Print_ISBN
    978-1-4244-2105-3
  • Type

    conf

  • DOI
    10.1109/SAMI.2008.4469184
  • Filename
    4469184