Next Article in Journal
Dynamic Data-Driven Modeling for Ex Vivo Data Analysis: Insights into Liver Transplantation and Pathobiology
Previous Article in Journal
Multiresolution Modeling of Semidilute Polymer Solutions: Coarse-Graining Using Wavelet-Accelerated Monte Carlo
Article Menu

Export Article

Open AccessArticle
Computation 2017, 5(4), 45;

Deformable Cell Model of Tissue Growth

Institute of Problems of Mechanical Engineering, Russian Academy of Sciences, 199178 Saint Petersburg, Russia
Institut Camille Jordan, UMR 5208 CNRS, University Lyon 1, 69622 Villeurbanne, France
Author to whom correspondence should be addressed.
Received: 30 September 2017 / Revised: 24 October 2017 / Accepted: 24 October 2017 / Published: 30 October 2017
(This article belongs to the Section Computational Biology)
Full-Text   |   PDF [5528 KB, uploaded 30 October 2017]   |  


This paper is devoted to modelling tissue growth with a deformable cell model. Each cell represents a polygon with particles located at its vertices. Stretching, bending and pressure forces act on particles and determine their displacement. Pressure-dependent cell proliferation is considered. Various patterns of growing tissue are observed. An application of the model to tissue regeneration is illustrated. Approximate analytical models of tissue growth are developed. View Full-Text
Keywords: deformable cells; tissue growth; pattern formation; analytical approximation deformable cells; tissue growth; pattern formation; analytical approximation

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Bessonov, N.; Volpert, V. Deformable Cell Model of Tissue Growth. Computation 2017, 5, 45.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Computation EISSN 2079-3197 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top