3D-Fast Optical Interface for Rapid Volumetric Neural Sensing and Modulation

3D-Fast Optical Interface for Rapid Volumetric Neural Sensing and Modulation 3D-Fast Optical Interface for Rapid Volumetric Neural Sensing and Modulation Dr. Shepherd's contribution to this project will be computational and theoretical. He will oversee: 1) development of a computational approach to retrieve optical sectioning from the 3DFAST design, and 2) new approaches to simulate the performance of the 3DFAST device. This task will involve the integration of his existing Markov chain Monte Carlo (MCMC) simulation code, Bayesian structured illumination microscopy (SIM) approach, and results from the Gibson laboratory on testing in tissue phantoms as well as mouse brain tissue to decide on a final illumination and image processing strategy for the 3DFAST device.