Compressed imaging with focused light

Abstract Compressed sensing applied to optical microscopy enables imaging with a number of measurements below the Nyquist criterion. The illumination basis selected, often unstructured for randomness considerations, influences performance image reconstruction algorithms. Here, we show through modelling based on multimode fiber that an composed series uniformly spaced foci provides improved robustness noise, increased volumetric performance, and greater resilience external perturbation when compared speckle basis. These observations have broad implications computational super-resolution imaging, endo-microscopy, post-processing images acquired any point-scanning system.