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High-resolution reconstruction and deconvolution of array detector images

Authors :
Prigent, Sylvain
Dutertre, Stéphanie
Bidaud-Meynard, Aurélien
Bertolin, Giulia
Michaux, Grégoire
Kervrann, Charles
Institut de Génétique et Développement de Rennes (IGDR)
Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1)
Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)
Centre National de la Recherche Scientifique (CNRS)
Université de Rennes 1 (UR1)
Université de Rennes (UNIV-RENNES)
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

Array detector allows a resolution gain for confocal microscopy by combining several images acquired by 32 sub-detectors. A single high resolution image is generally obtained by spatially re-assigning the signal from the 32 sub-detectors and applying a deconvolution procedure. Alternative methods have been proposed to produce high resolution images by linearly combining the signals of sub-detectors. We propose here a novel method that deconvolves directly the stack constituted of 32 spatially re-assigned detectors signals. We demonstrate on both calibration slides and real data that the proposed method allows to produce more homogeneous, well-contrasted, high-resolution images than those obtained with previous methods. All the tested methods have been implemented in an open source software which can be be downloaded for free.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.dedup.wf.001..724292d4cece2c1c2eecc1a436d1e8bc