title: Image processing techniques for assessing contractility in isolated neonatal cardiac myocytes.
abstract: We describe a computational framework for the quantitative assessment of contractile responses of isolated neonatal cardiac myocytes. To the best of our knowledge, this is the first report on a practical and accessible method for the assessment of contractility in neonatal cardiocytes. The proposed methodology is comprised of digital video recording of the contracting cell, signal preparation, representation by polar Fourier descriptors, and contractility assessment. The different processing stages are variants of mathematically sound and computationally robust algorithms very well established in the scientific community. The described computational approach provides a comprehensive assessment of the neonatal cardiac myocyte contraction without the need of elaborate instrumentation. The versatility of the methodology allows it to be employed in determining myocyte contractility almost simultaneously with the acquisition of the Ca(2+) transient and other correlates of cell contraction. The proposed methodology can be utilized to evaluate changes in contractile behavior resulting from drug intervention, disease models, transgeneity, or other common applications of neonatal cardiocytes.
authors.affiliation: Computational Science Research Center, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-1245, USA.
authors.forename: Carlos
authors.initials: C
authors.lastname: Bazan
authors.forename: David
authors.initials: D
authors.lastname: Torres Barba
authors.forename: Peter
authors.initials: P
authors.lastname: Blomgren
authors.forename: Paul
authors.initials: P
authors.lastname: Paolini