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Empirical SURE-guided microscopy super-resolution image reconstruction from confocal multi-array detectors

Abstract : The new generation of confocal microscopes are equipped with an array detector that generates an array of images corresponding to a multiview of the same sample. Several computational methods have been proposed to reconstruct a single super-resolution image from a stack of images associated to detectors. Each method has its pros and cons depending on the targeted application. In this paper, we review the most commonly used reconstruction methods and propose a SU RE approach to automatically estimate parameters and improve reconstruction. Methods described in this paper are available in an open source software.
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https://hal.inria.fr/hal-03087023
Contributor : Charles Kervrann <>
Submitted on : Wednesday, December 23, 2020 - 11:13:18 AM
Last modification on : Thursday, January 14, 2021 - 11:24:47 AM

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  • HAL Id : hal-03087023, version 1

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Sylvain Prigent, Stéphanie Dutertre, Charles Kervrann. Empirical SURE-guided microscopy super-resolution image reconstruction from confocal multi-array detectors. IEEE Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. ⟨hal-03087023⟩

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