• DocumentCode
    2489456
  • Title

    Automated image analysis of cardiac myocyte Ca2+ dynamics

  • Author

    Amanfu, Robert K. ; Muller, James B. ; Saucerman, Jeffrey J.

  • Author_Institution
    Dept. of Biomed. Eng., Univ. of Virginia, Charlottesville, VA, USA
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    4661
  • Lastpage
    4664
  • Abstract
    Intracellular Ca2+ dynamics act as a key link between the electrical and mechanical activity of the heart. Here we present a method for high-throughput measurement, automated cell segmentation and signal analysis of Ca2+ transients in isolated adult ventricular myocytes. In addition to increasing experimental throughput ~10-fold compared to conventional approaches, this approach allows the study of individual cell-cell variability and relationships between Ca2+ signaling and cell morphology.
  • Keywords
    bioelectric phenomena; cardiology; cellular biophysics; image segmentation; medical image processing; automated cell segmentation; automated image analysis; cardiac myocyte Ca2+ dynamics; cell morphology; cell-cell variability; electrical activity; heart; intracellular dynamics; isolated adult ventricular myocytes; mechanical activity; signal analysis; Cameras; Charge coupled devices; Fluorescence; Image segmentation; Shape; Transient analysis; Animals; Automation; Calcium; Calcium Signaling; Myocardium; Rats; Rats, Sprague-Dawley;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091154
  • Filename
    6091154
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2489456