• DocumentCode
    2109987
  • Title

    Automatic Fluorescent Dot Counting in Interphase Cell Nuclei using Basis Pursuit Image Analysis

  • Author

    Tai, Zhenfei ; Cheng, Samuel

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK
  • fYear
    2008
  • fDate
    17-20 April 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Fluorescent dot counting in interphase cell nuclei has always been useful in many aspects of clinical research and biomedical use. An iterative method is purposed in this paper using the basis pursuit algorithm for the processing of the fluorescent images, together with the threshold scheme to result in compressed sensed images useful for dot counting. A simple dot counting algorithm is employed on the processed images and compared with a conventional method to show the advantages of the new technique.
  • Keywords
    fluorescence; iterative methods; medical image processing; automatic fluorescent dot counting; basis pursuit image analysis; interphase cell nuclei; iterative method; Biological cells; Biomedical computing; Discrete wavelet transforms; Fluorescence; Frequency estimation; Image analysis; Iterative methods; Low pass filters; Marine animals; US Department of Transportation; basis pursuit; curvelet; dot counting; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Region 5 Conference, 2008 IEEE
  • Conference_Location
    Kansas City, MO
  • Print_ISBN
    978-1-4244-2076-6
  • Electronic_ISBN
    978-1-4244-2077-3
  • Type

    conf

  • DOI
    10.1109/TPSD.2008.4562730
  • Filename
    4562730