DocumentCode :
2736148
Title :
Computational modeling of multicellular systems evolution in tissue engineering
Author :
Robu, Andreea ; Stoicu-Tivadar, Lacramioara ; Neagu, Adrian
Author_Institution :
Dept. of Autom. & Appl. Inf., Politeh. Univ., Timişoara, Romania
fYear :
2012
fDate :
13-15 June 2012
Firstpage :
351
Lastpage :
356
Abstract :
Tissue engineering is a novel research field that covers a wide range of applications, which consist in developing biological substitutes capable to replace or repair injured or damaged tissues. In the top-down approach to tissue engineering, the biological substitutes are obtained by culturing living cells on scaffolds made of biocompatible and biodegradable materials. Cells are harvested from the patient, expanded in Petri dishes, and seeded onto scaffolds. Tissue engineering research is motivated by transplantable organ shortage. Mathematical and computational methods are used for modeling and designing scaffolds and for simulating in vivo and in vitro morphogenesis. To simulate how scaffolds are populated by cells, we developed three-dimensional computational models of cubic pore scaffolds for studying the energetic and geometric conditions that lead to a uniform and rapid cell seeding. We characterized the evolution of multicellular systems, taking into consideration the differential adhesion hypothesis, which states that cells move in their environment until they reach the minimum energy configuration of the system. Based on the Metropolis Monte Carlo method, the evolution of the cells´ center of mass is analyzed, providing information about the distribution of cells in the scaffold. We also monitored the fraction of cells attached to the scaffold.
Keywords :
Monte Carlo methods; biodegradable materials; biological tissues; biology computing; tissue engineering; Metropolis Monte Carlo method; biocompatible materials; biodegradable materials; biological substitutes; computational modeling; cubic pore scaffolds; culturing living cells; energetic conditions; geometric conditions; morphogenesis; multicellular systems; tissue engineering; Biological system modeling; Biological systems; Cells (biology); Computational modeling; Evolution (biology); Suspensions; Tissue engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Engineering Systems (INES), 2012 IEEE 16th International Conference on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4673-2694-0
Electronic_ISBN :
978-1-4673-2693-3
Type :
conf
DOI :
10.1109/INES.2012.6249858
Filename :
6249858
Link To Document :
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