Hostname: page-component-7c8c6479df-fqc5m Total loading time: 0 Render date: 2024-03-29T14:24:57.576Z Has data issue: false hasContentIssue false

Using the Virtual Cell Simulation Environment for Extracting Quantitative Parameters from Live Cell Fluorescence Imaging Data

Published online by Cambridge University Press:  01 December 2009

A. E. Cowan*
Affiliation:
Center for Cell Analysis and Modeling, University of Connecticut Health Center, 263 Farmington Ave., Farmington, CT 06030
Y. Li
Affiliation:
Center for Cell Analysis and Modeling, University of Connecticut Health Center, 263 Farmington Ave., Farmington, CT 06030
F. R. Morgan
Affiliation:
Center for Cell Analysis and Modeling, University of Connecticut Health Center, 263 Farmington Ave., Farmington, CT 06030
D. E. Koppel
Affiliation:
Center for Cell Analysis and Modeling, University of Connecticut Health Center, 263 Farmington Ave., Farmington, CT 06030
B. M. Slepchenko
Affiliation:
Center for Cell Analysis and Modeling, University of Connecticut Health Center, 263 Farmington Ave., Farmington, CT 06030
L. M. Loew
Affiliation:
Center for Cell Analysis and Modeling, University of Connecticut Health Center, 263 Farmington Ave., Farmington, CT 06030
J. Schaff
Affiliation:
Center for Cell Analysis and Modeling, University of Connecticut Health Center, 263 Farmington Ave., Farmington, CT 06030

Extract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Rapid advances in fluorescence probe and imaging technologies now provide easily accessible tools for biologists to perform highly detailed analysis of molecular interactions in living cells. However it can be difficult to extract accurate parameters from these experiments because of the complex interplay of diffusion-reaction events with the morphology of the cell. As a result, only a small fraction of the available spatiotemporal information is utilized, and in many cases analysis remains at a qualitative level. The Virtual Cell (VCell, http://vcell.org) simulation environment is uniquely suited to analyzing these types of fluorescence imaging experiments because it is designed to solve reaction-diffusion equations within any given geometry [1]

Type
Biological Applications
Copyright
Copyright © Microscopy Society of America 2009