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Shape changes of bioprinted tissue constructs simulated by the Lattice Boltzmann method.
1Center for Fundamental and Advanced Technical Research, Romanian Academy-Timisoara Division, Bd. Mihai Viteazul No. 24, 300223 Timisoara, Romania.
Computers in Biology and Medicine
|January 25, 2016
Summary
This study uses the Lattice Boltzmann (LB) method to simulate how multicellular constructs fuse in bioprinting. The computational model accurately predicts the formation of tubular structures, aiding tissue engineering research.
Area of Science:
- Biomaterials Science
- Computational Biology
- Tissue Engineering
Background:
- Tissue engineering aims to create functional tissues for repair and replacement.
- Computational modeling is crucial for understanding complex multicellular system development.
- Bioprinting involves arranging cells within hydrogels, requiring prediction of construct stability and shape.
Purpose of the Study:
- To apply the Lattice Boltzmann (LB) method to simulate the fusion of multicellular constructs in a hydrogel environment.
- To develop and validate a 2D LB model for predicting the shape and stability of bioprinted tissues.
- To investigate the morphogenesis of various bioprinted construct geometries.
Main Methods:
- Development of a two-dimensional Lattice Boltzmann (LB) model for multicellular systems within hydrogels.
- Implementation of a parallel computing code using the Portable Extensible Toolkit for Scientific Computation (PETSc).
- Simulation of multicellular cylinder fusion, defect evolution in tubes, and planar/bulky construct development.
Main Results:
- The LB model successfully simulated the fusion of multicellular cylinders into tubular constructs, aligning with bioprinting experiments.
- The model captured essential features of morphogenesis, including the evolution of construct shapes and stability.
- Simulations addressed practical tissue engineering challenges, such as defects and perfusable construct design.
Conclusions:
- The validated LB model provides a cost-effective and rapid tool for testing hypotheses in tissue engineering.
- This computational approach can accelerate the design and optimization of bioprinted tissue constructs.
- The study demonstrates the utility of LB methods in understanding and predicting multicellular construct behavior.

