Abstract
This talk will describe new computational microscopy methods for high pixel-count 3D images. We describe two setups employing illumination-side and detection-side aperture coding of angle (Fourier) space for capturing 4D phase-space (e.g. light field) datasets with fast acquisition times. Using a multi-slice forward model and compressive sensing inspired algorithms, we develop efficient 3D reconstruction methods for both incoherent and coherent imaging models, with robustness to scattering and aberrations. Experimentally, we achieve real-time 3D intensity and phase capture with high resolution across a large volume. Such computational approaches to optical microscopy add significant new capabilities to commercial microscopes without significant hardware modification. We will discuss applications in 3D microscopy and all-optical neural activity tracking.
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