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Preprints, Working Papers, ... Year : 2022

A comparison of high resolution image reconstruction methods from confocal array detector with a new deconvolution algorithm

Abstract

Array detector allows a resolution gain for confocal microscopy by combining images sensed by a set of photomultipliers tubes (or sub-detectors). Several methods have been proposed to reconstruct a high resolution image by linearly combining sub-detector images. To overcome the limitations of these techniques, we propose a new reconstruction method that takes the full stack of spatially reassigned detector signals as input. We show on both calibration slides and real data that our deconvolution method allows to achieve a better reconstruction performance in terms of resolution, image contrast, and spatial intensity homogeneity. The tested algorithms are available in an open source software.
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hal-03384610 , version 1 (21-01-2022)

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Sylvain Prigent, Aurélien Bidaud-Meynard, Stéphanie Dutertre, Giulia Bertolin, Grégoire Michaux, et al.. A comparison of high resolution image reconstruction methods from confocal array detector with a new deconvolution algorithm. 2022. ⟨hal-03384610⟩
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