Martin Charles Golumbic, Renu C. Laskar
Discrete Applied Mathematics
The Beauchemin model is a simple particle-based description of stochastic lymphocyte migration in tissue, which has been successfully applied to studying immunological questions. In addition to being easy to implement, the model is also to a large extent mathematically tractable. This article provides a comprehensive overview of both existing and new analytical results on the Beauchemin model within a common mathematical framework. Specifically, we derive the motility coefficient, the mean square displacement, and the confinement ratio, and discuss four different methods for simulating biased migration of pre-defined speed. The results provide new insight into published studies and a reference point for future research based on this simple and popular lymphocyte migration model. © 2013 Textor et al.; licensee BioMed Central Ltd.
Martin Charles Golumbic, Renu C. Laskar
Discrete Applied Mathematics
M. Tismenetsky
International Journal of Computer Mathematics
George Markowsky
J. Math. Anal. Appl.
Hans Becker, Frank Schmidt, et al.
Photomask and Next-Generation Lithography Mask Technology 2004