Abstract

We report the experimental demonstration of deeply subwavelength far-field optical imaging of unlabelled samples with resolution better than λ/20λ/20. We beat the ~λλ/2 diffraction limit of conventional optical microscopy several times over by recording the intensity pattern of coherent light scattered from the object into the far-field. We retrieve information about the object with a deep learning neural network trained on scattering events from a large set of known objects.

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