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Modeling and simulation of biological systems from image data


Sbalzarini, Ivo F (2013). Modeling and simulation of biological systems from image data. BioEssays, 35(5):482-490.

Abstract

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.

Abstract

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.

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7 citations in Web of Science®
8 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, further contribution
Communities & Collections:Special Collections > SystemsX.ch
Special Collections > SystemsX.ch > Research, Technology and Development Projects > LipidX
Special Collections > SystemsX.ch > Research, Technology and Development Projects > WingX
Special Collections > SystemsX.ch > Research, Technology and Development Projects
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Date:2013
Deposited On:05 Jul 2013 11:41
Last Modified:07 Dec 2017 02:24
Publisher:Wiley-Blackwell
ISSN:0265-9247
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1002/bies.201200051
PubMed ID:23533152

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