Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadata

https://hal.inria.fr/hal-03087023
Contributor : Charles Kervrann Connect in order to contact the contributor
Submitted on : Wednesday, December 23, 2020 - 11:13:18 AM
Last modification on : Tuesday, January 4, 2022 - 6:39:50 AM

File

HAL-AiryScanRestoration-2020.p...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-03087023, version 1

Citation

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⟩

Share

Metrics

Les métriques sont temporairement indisponibles