ICASSP 2020accepted0 citations
Empirical Sure-Guided Microscopy Super-Resolution Image Reconstruction from Confocal Multi-Array Detectors
Sylvain Prigent, Stephanie Dutertre, Charles Kervrann
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 SURE approach to automatically estimate parameters and improve reconstruction. Methods described in this paper are available in an open source software.
BibTeX
@inproceedings{icassp2020_empiricalsuregui,
title = {Empirical Sure-Guided Microscopy Super-Resolution Image Reconstruction from Confocal Multi-Array Detectors},
author = {Sylvain Prigent and Stephanie Dutertre and Charles Kervrann},
booktitle = {ICASSP 2020},
year = {2020}
}