Laura Waller (UC Berkeley)

We describe a computational camera that enables single-shot multi-dimensional imaging with simple hardware and scalable software for easy reproducibility. We demonstrate compact hardware and compressed sensing reconstructions for 3D fluorescence measurements with high resolution across a large volume, hyper-spectral imaging, and temporal super-resolution – recovering a video from a single-shot capture. Our inverse algorithms are based on large-scale nonlinear non-convex optimization combined with unrolled neural networks. Applications demonstrated include whole organism bioimaging and neural activity tracking in vivo