• DocumentCode
    2633489
  • Title

    Automatic quantification of microtubule dynamics

  • Author

    Hadjidemetriou, Stathis ; Duncan, James S. ; Toomre, Derek ; Tuck, David

  • Author_Institution
    Dept. of Electr. Eng. & Diagnostic Radiol., Yale Univ., New Haven, CT, USA
  • fYear
    2004
  • fDate
    15-18 April 2004
  • Firstpage
    656
  • Abstract
    The dynamics of the microtubule assembly are very significant both for cell function and structure. Abnormal function of the assembly is involved in neurodegenerative diseases and cancer. Currently, microtubule dynamics are typically analyzed manually, which is time consuming and limiting. We present an algorithm that quantifies the microtubule dynamics automatically. The quantification becomes simpler, easier, and more extensive. We examine the sensitivity of the algorithm using phantom as well as real data.
  • Keywords
    biomedical optical imaging; cancer; cellular biophysics; fluorescence; molecular biophysics; neurophysiology; phantoms; cancer; cell function; cell structure; epifluorescent confocal microscopy; microtubule dynamics; neurodegenerative diseases; phantom; Alzheimer´s disease; Assembly; Cancer; Drugs; Image edge detection; Imaging phantoms; Microscopy; Motion estimation; Tracking; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8388-5
  • Type

    conf

  • DOI
    10.1109/ISBI.2004.1398623
  • Filename
    1398623