Dynamics of neuronal growth on surfaces with controlled geometries

Detailed knowledge of how the surface physical properties, such as mechanics, topography and texture influence neuronal growth and guidance is essential for understanding the processes that control neuron development, the formation of functional neuronal connections and nerve regeneration. I will present experimental results that demonstrate directional neuronal growth imparted by the surface geometry. We quantify axonal alignment and growth dynamics using a general stochastic model based on the Langevin equation. We relate the observed alignment in axonal growth to cellular contact guidance behavior, which results in an increase in the cell-substrate coupling on surfaces with micro-patterned structures. These results provide new insight into the role played by geometrical cues in neuronal growth and could lead to new methods for stimulating neuronal regeneration and the engineering of artificial neuronal tissue.