Prospects & Overviews
Modeling and simulation of biological systems from image data
Article first published online: 27 MAR 2013
Copyright © 2013 WILEY Periodicals, Inc.
Volume 35, Issue 5, pages 482–490, May 2013
How to Cite
Sbalzarini, I. F. (2013), Modeling and simulation of biological systems from image data. Bioessays, 35: 482–490. doi: 10.1002/bies.201200051
- Issue published online: 12 APR 2013
- Article first published online: 27 MAR 2013
- computational biology;
- image-based systems biology;
- spatiotemporal modeling;
- systems biology
This essay provides an introduction to the terminology, concepts, methods, and challenges of image-based modeling in biology. Image-based modeling and simulation aims at using systematic, quantitative image data to build predictive models of biological systems that can be simulated with a computer. This allows one to disentangle molecular mechanisms from effects of shape and geometry. Questions like “what is the functional role of shape” or “how are biological shapes generated and regulated” can be addressed in the framework of image-based systems biology. The combination of image quantification, model building, and computer simulation is illustrated here using the example of diffusion in the endoplasmic reticulum.