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inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cd615a86323e5379219c874dee49434e
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publicationDate 2020-11-12-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-2020357096-A1
titleOfInvention Deep-learning based structure reconstruction method and apparatus
abstract A method for structure simulation for super-resolution fluorescence microscopy, the method including receiving a first image having a first resolution, which is indicative of a distribution of fluorophores; applying a Markov model to the fluorophores to indicate an emission state of the fluorophores; generating a plurality of second images, having the first resolution, based on the first image and the Markov model; adding DC background to the plurality of second images to generate a plurality of third images, having the first resolution; downsampling the plurality of third images to obtain a plurality of fourth images, which have a second resolution, lower than the first resolution; and generating a time-series, low-resolution images by adding noise to the plurality of fourth images. The time-series, low-resolution images have the second resolution.
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