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We consider the high-resolution imaging problem of 3D point source image recovery from 2D data using methods based on point spread function (PSF) design. Finding the locations of point sources is a large-scale sparse 3D inverse problem and we have studied solution algorithms based on sparse recovery in compressed sensing using non-convex optimization. Applications to high-resolution single molecule localization microscopy are described, and numerical tests are presented.
This is poster number 67 in Poster Session