University of California, Berkeley
Abstract: We describe a compact and inexpensive computational microscope that encodes 3D information into a single 2D sensor measurement, then exploits sparsity to reconstruct the volume with good resolution across a large volume. Our system uses simple hardware and scalable software for easy reproducibility and adoption. The inverse algorithm is based on large-scale nonlinear optimization with self-calibration of aberrations and we discuss computational optical design approaches for optimizing the system’s performance. We demonstrate applications in whole organism bioimaging and neural activity tracking in vivo.
All lectures are via Zoom.
If you would like to be invited to attend the colloquium via Zoom, please contact Dan Adams (firstname.lastname@example.org) or Serena Eley (email@example.com) for the link.