Tissue engineering utilizes nano-scaffolds to direct cell growth and control cell behavior. Since cells occupy specific spaces within extracellular matrix (ECM) it’s important to understand how the geometry of these spaces influence cell behaviors such as movement, death and proliferation. Understanding how the 3-dimensional geometry created by the alignment and density of fibers within the scaffold dictates cell behavior can ultimately lead to scaffold design which promotes more rapid and complete healing. However due to the constraints surrounding bioactive implants and their experimental status there exists little data on how effective nano-scaffolds have performed. The goal of this research is to outline how a computational model can accurately simulate cell behavior within a nano-scaffold to better optimize scaffold parameters. Therefore, this research will examine fiber deposition, degradation, and realignment by cells in a scaffold. Additionally, this research will also cover programmed cell behavior such as movement, death and proliferation. Incorporating this knowledge into scaffold design could aid in the advancement of regenerative medicine and shape the future of tissue engineering.
Babcock, Ethan and Luke, Bethany, "Development of a Computational Model for Cell Activity in a Nano-Scaffold" (2020). Symposium on Undergraduate Research and Creative Expression (SOURCE). 871.