• DocumentCode
    3122733
  • Title

    Comparison of Intensity Based Similarity Measures forMatching Genomic Structures in Microscopic Images of Living Cells

  • Author

    Bhattacharya, Sambit ; Acharya, Raj ; Pliss, Artem ; Malyavantham, Kishore S. ; Berezney, Ronald

  • Author_Institution
    Dept. of Math. & Comput. Sci., Fayetteville State Univ., NC
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    3057
  • Lastpage
    3061
  • Abstract
    This paper presents our comparative study of the application of intensity based similarity measures to the problem of matching genomic structures in microscopic images of living cells. As part of our ongoing research, we present here for the first time evidence from experiments and simulations that show the benefit of using an iterative matching algorithm guided by an intensity based similarity measure. Our experimental results are compared against a gold standard and suggest the measures that work best in the presence of fluorescent decay and other problems inherent to time-lapse microscopy. This makes our approach widely applicable in the study of the dynamics of living cells with time-lapse microscopic imaging
  • Keywords
    DNA; biological techniques; cellular biophysics; iterative methods; molecular biophysics; optical microscopy; fluorescent decay; genomic structure matching; intensity based similarity measures; iterative matching algorithm; living cells; microscopic images; time-lapse microscopy; Bioinformatics; Biology; Computer science; Data mining; Genomics; Image registration; Iterative algorithms; Iterative closest point algorithm; Microscopy; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.260165
  • Filename
    4462442