Cell motility as random motion: A review
By D. Selmeczi, Liang Li, Lykke Pedersen, S. F. Nrrelykke, P. H. Hagedorn, S. Mosler, N. B. Larsen, E. C. Cox, Henrik Flyvbjerg. 2008
114 citations recorded by the source corpus.
Abstract.The historical co-evolution of biological motility models with models of Brownian motion is outlined. Recent results for how to derive cell-type-specific motility models from experimental cell trajectories are reviewed. Experimental work in progress, which tests the generality of this phenomenological model building is reported. So is theoretical work in progress, which explains the characteristic time scales and correlations of phenomenological models in terms of the dynamics of cytoskeleton, lamellipodia, and pseudopodia.
Subfields: Biomedical Engineering, Cell Biology
View Paper: https://www.semanticscholar.org/paper/dc8fd83b45e67af35b2339b9f3c49a2e248aadc3
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In Biomedical Engineering
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Citations in the corpus
- L\'evy walks (2014, methodology): “An alternative approach is to look into the microscopic details of motility patterns by using, for example, Langevin dynamics (Lenz et al., 2013; Selmeczi et al., 2008; Zaburdaev et al., 2011b), and then pose a question of how it can lead to the appearance of the Lévy like behaviour on larger…”
- Active Brownian particles (2012, background): “For human epidermal cells, they formulated stochastic integro-differential equation of motion with a kernel representing a short-ranged memory of the cell [314,313].”