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
fDate :
Aug. 30 2011-Sept. 3 2011
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;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091154
