Improving the realism of the cellular Potts model in simulations of biological cells
β Scribed by Noriyuki Bob Ouchi; James A. Glazier; Jean-Paul Rieu; Arpita Upadhyaya; Yasuji Sawada
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 165 KB
- Volume
- 329
- Category
- Article
- ISSN
- 0378-4371
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β¦ Synopsis
Because the extended or cellular large-Q Potts model (CPM) captures e ectively the global features of tissue rearrangement experiments, including cell sorting and tissue engulfment, it has become a common technique for cell level simulation of tissues. However, it omits three key elements of real cells, their ΓΏxed membrane area, their attractive binding and the dissipation of making and breaking membrane contacts. In this paper, we modify the Hamiltonian to use negative surface energies, constrained surface area and a spin ip energy threshold to improve the correspondence to reality. We ΓΏnd that the new model correctly predicts several dynamical behaviors of cells which the original CPM does not, including the hierarchy of di usion constants.
π SIMILAR VOLUMES
Dynamical behavior of clusters during relaxation is studied in the two-dimensional Potts model using a cluster algorithm. Average cluster size and cluster formation velocity are calculated on two different lattice sizes for different number of states during initial stages of the Monte Carlo simulati