Generalized recovery algorithm for 3D super-resolution microscopy using rotating point spread functions

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Generalized recovery algorithm for 3D super-resolution microscopy using rotating point spread functions

Super-resolution microscopy with phase masks is a promising technique for 3D imaging and tracking. Due to the complexity of the resultant point spread functions, generalized recovery algorithms are still missing. We introduce a 3D super-resolution recovery algorithm that works for a variety of phase masks generating 3D point spread functions. A fast deconvolution process generates initial guess...

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ژورنال

عنوان ژورنال: Scientific Reports

سال: 2016

ISSN: 2045-2322

DOI: 10.1038/srep30826