Neuronal dynamics on patterned substrates measured by fluorescence microscopy

Geometrical features are known to be very important in neuronal growth and the formation of neuronal networks. We present experimental and theoretical investigations of axonal growth and dynamics for neurons cultured on patterned surfaces. We utilize fluorescence microscopy to image the axonal dynamics and show that these substrates impart a strong directional bias to neuronal growth. We model axonal dynamics using a general stochastic model and use this framework to extract key dynamical parameters. These results provide novel insight into how geometrical cues influence neuronal growth and represent important advances toward bioengineering neuronal growth platforms.