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

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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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Dates and versions

hal-03087023 , version 1 (23-12-2020)

Identifiers

  • HAL Id : hal-03087023 , version 1

Cite

Sylvain Prigent, Stéphanie Dutertre, Charles Kervrann. Empirical SURE-guided microscopy super-resolution image reconstruction from confocal multi-array detectors. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2020, Barcelona, Spain. pp.1-5. ⟨hal-03087023⟩
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