A computational model for cell/ECM growth on 3D surfaces using the level set method: a bone tissue engineering case...

Area of Science:

• Biomaterials Science
• Tissue Engineering
• Computational Biology

Background:

• Three-dimensional porous scaffolds are crucial for tissue engineering (TE) by guiding cell growth.
• Scaffold geometry significantly influences cell growth kinetics and in vitro tissue formation.

Purpose of the Study:

• To develop a computational framework using level set methodology to predict curvature-dependent cell growth within TE constructs.
• To validate the computational model against experimental data for TE scaffolds.

Main Methods:

• Additive manufacturing was used to create scaffolds with varying geometries (hexagonal, square, triangular) and pore sizes (500 and 1,000 µm).
• Human periosteum-derived cells were seeded onto scaffolds and cultured statically for 14 days.
• A level set computational framework was employed to model cell/extracellular matrix domain growth.

Main Results:

• The computational framework demonstrated good qualitative and quantitative agreement with experimental results.
• The model successfully predicted the projected tissue area as an output measure.
• The framework provided spatio-temporal insights into pore-filling dynamics by cells and extracellular matrix.

Conclusions:

• The developed computational framework accurately predicts cell and extracellular matrix growth in tissue engineering scaffolds.
• This model can inform the design of scaffolds with optimized geometries for enhanced tissue development.
• The study highlights the potential of computational modeling for understanding and controlling tissue formation in vitro.