• DocumentCode
    1797890
  • Title

    A rapid fluorescence lifetime image acquistion method based on time-gated fluorescence lifetime imaging microscopy

  • Author

    Yang Liu ; Yan Zhou ; Yuliang Liu

  • Author_Institution
    Optoelectron. Syst. Lab. Inst. of Semicond., Beijing, China
  • fYear
    2014
  • fDate
    15-17 Nov. 2014
  • Firstpage
    808
  • Lastpage
    812
  • Abstract
    Besides the regular biological or biomedical imaging applications, time-gated fluorescence lifetime imaging microscopy (FLIM) could be used to image living cells or rapid biochemistry reactions by its advantage of wide field and obvious parallel acquisition speed. As the basis of system detection mode, a good fitting algorithm could satisfy the lifetime precision and acquisition demand at the same time. The common used fluorescence lifetime fitting methods include rapid fluorescence lifetime determination(RLD), linear least square method (LLS)and iterative nonlinear least square (NLLS)method. In this study, we compared these three methods and analyzed the lifetime results. It demonstrated the RLD algorithm could achieve a fast processing speed and a good contrast of lifetime map, however, it shows the results of the rapid fitted lifetime map exists some distributed noise caused by insufficient time-resolved fluorescence intensity images. To remove these noise spots and preserve the lifetime map precision, we chose a four-order partial differential equations (PDEs), which achieved a trade-off between noise-removing and lifetime map feature. In this paper, we proposed a rapid fluorescence lifetime acquisition method combining rapid lifetime determination and four-order PDEs algorithm based on time-gated FLIM, which could satisfy the high speed detection and lifetime precision demand of living cells or rapid biochemical reactions.
  • Keywords
    biochemistry; biomedical optical imaging; cellular biophysics; curve fitting; fluorescence; iterative methods; least mean squares methods; medical image processing; optical microscopy; partial differential equations; radiative lifetimes; NLLS method; RLD algorithm; biological imaging applications; biomedical imaging applications; fluorescence lifetime fitting algorithm; four order PDE algorithm; iterative nonlinear least square method; lifetime map precision preservation; lifetime precision demand; linear least square method; living cells imaging; noise removing feature; partial differential equations; rapid biochemistry reactions; rapid fitted lifetime map; rapid fluorescence lifetime determination; rapid fluorescence lifetime image acquisition method; system detection mode; time gated FLIM; time gated fluorescence lifetime imaging microscopy; time resolved fluorescence intensity images; Biomedical imaging; Fitting; Fluorescence; Least squares methods; Logic gates; Noise; fourth-order PDE; noise removal; nonlinear diffusion; rapid fitting method; time-gated FLIM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2014 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-5457-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2014.7009395
  • Filename
    7009395