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135 N Skinker Blvd, St. Louis, MO 63112, USA
Computational imaging enables engineering of 3D microscopy systems with improved performance
Improving the performance of three-dimensional (3D) fluorescence microscopes is a topic that has received a lot of attention over the years. In this talk, I will first discuss computational imaging techniques that we have developed to address spatially variant imaging, including point-spread function engineering designed to render the microscope less sensitive to depth-induced aberrations. I will then discuss our developments to improve 3D-spatial resolution in fluorescence microscopy based on optical-transfer function engineering using a novel structured illumination approach and computational methods to solve the structured illumination microscopy (SIM) inverse imaging problem, including efficient image restoration using plug and play methods that integrate physical and learned models.
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