Abstract
This talk will describe new methods for achieving high-resolution 3D images in a commercial microscope, by computational imaging approaches. 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, we develop efficient reconstruction algorithms for both the coherent and partially coherent imaging cases. By exploiting the redundant nature of 4D datasets used to recover 3D images, we demonstrate robustness to scattering. Experimentally, we achieve real-time 3D and phase imaging with digital aberration correction and mitigation of scattering effects. The result is a high-resolution gigapixel image in multiple depth planes with fast capture times. Such computational approaches to optical microscopy add significant new capabilities to commercial microscopes without significant hardware modification.
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