Title :
A density-based cellular automaton model for studying the clustering of noninvasive cells
Author :
Bonnet, Noël ; Matos, Manuela ; Polette, Myriam ; Zahm, Jean-Marie ; Nawrocki-Raby, Béatrice ; Birembaut, Philippe
Author_Institution :
UMRS INSERM 514 (IFR53), Reims, France
fDate :
7/1/2004 12:00:00 AM
Abstract :
We investigated whether cluster formation by noninvasive cells can be explained by a global attractive potential. Indices quantifying the persistence of migration in experimental conditions were compared to the same indexes computed from simulations with a density-based cellular automaton. The results indicate that the attractive potential hypothesis must be rejected.
Keywords :
bioelectric potentials; biology computing; cellular automata; cellular biophysics; digital simulation; density-based cellular automaton model; global attractive potential; noninvasive cell clustering; Automata; Biological system modeling; Biology computing; Cells (biology); Computational modeling; Computer simulation; Grid computing; Kernel; Metastasis; Neoplasms; Artificial Intelligence; Bronchi; Cell Aggregation; Cell Communication; Cell Line; Cell Movement; Cluster Analysis; Computer Simulation; Humans; Models, Biological; Respiratory Mucosa;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2004.827256
