Artificial patterns in spatially discrete models of cell migration and how to mitigate them
Open Access
- 27 November 2023
- journal article
- research article
- Published by Institute of Mathematics and Informatics Bulgarian Academy of Sciences in BIOMATH
- Vol. 12 (2) , 2311177
Abstract
Several discrete models for diffusive motion are known to exhibit checkerboard artifacts, absent in their continuous analogues. We study the origins of the checkerboard artifact in the discrete heat equation and show that this artifact decays exponentially in time when following either of two strategies: considering the present state of each lattice site to determine its own future state (self-contributions), or using non-square lattice geometries. Afterwards, we examine the effects of these strategies on nonlinear models of biological cell migration with two kinds of cell-cell interactions: adhesive and polar velocity alignment. In the case of adhesive interaction, we show that growing modes related to pattern formation overshadow artifacts in the long run; nonetheless, artifacts can still be completely prevented following the same strategies as in the discrete heat equation. On the other hand, for polar velocity alignment we show that artifacts are not only strengthened, but also that new artifacts can arise in this model which were not observed in the previous models. We find that the lattice geometry strategy works well to alleviate artifacts. However, the self-contribution strategy must be applied more carefully: lattice sites should contribute to both their own density and velocity values, and their own velocity contribution should be high enough. With this work, we show that these two strategies are effective for preventing artifacts in spatial models based on the discrete continuity equation.Keywords
This publication has 12 references indexed in Scilit:
- Modeling persistence of motion in a crowded environment: The diffusive limit of excluding velocity-jump processesPhysical Review E, 2018
- A Trade-Off Between Simplicity and Robustness? Illustration on a Lattice-Gas Model of Swarming2018
- Cellular Automata: Analysis and Applications2017
- Cellular Automaton Modeling of Biological Pattern Formation2017
- The geometrical significance of the LaplacianAmerican Journal of Physics, 2015
- Traffic Jams, Gliders, and Bands in the Quest for Collective Motion of Self-Propelled ParticlesPhysical Review Letters, 2011
- Mean-Field Analysis of a Dynamical Phase Transition in a Cellular Automaton Model for Collective MotionPhysical Review Letters, 1997
- Lattice-Gas Automata for the Navier-Stokes EquationPhysical Review Letters, 1986
- Simple mathematical models with very complicated dynamicsNature, 1976
- Molecular dynamics of a classical lattice gas: Transport properties and time correlation functionsPhysical Review A, 1976