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Towards real-time image deconvolution: application to confocal and STED microscopy
Although deconvolution can improve the quality of any type of microscope, the high computational time required has so far limited its massive spreading. Here we demonstrate the ability of the scaled-gradient-projection (SGP) method to provide accelerated versions of the most used algorithms in micro...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3755287/ https://www.ncbi.nlm.nih.gov/pubmed/23982127 http://dx.doi.org/10.1038/srep02523 |
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author | Zanella, R. Zanghirati, G. Cavicchioli, R. Zanni, L. Boccacci, P. Bertero, M. Vicidomini, G. |
author_facet | Zanella, R. Zanghirati, G. Cavicchioli, R. Zanni, L. Boccacci, P. Bertero, M. Vicidomini, G. |
author_sort | Zanella, R. |
collection | PubMed |
description | Although deconvolution can improve the quality of any type of microscope, the high computational time required has so far limited its massive spreading. Here we demonstrate the ability of the scaled-gradient-projection (SGP) method to provide accelerated versions of the most used algorithms in microscopy. To achieve further increases in efficiency, we also consider implementations on graphic processing units (GPUs). We test the proposed algorithms both on synthetic and real data of confocal and STED microscopy. Combining the SGP method with the GPU implementation we achieve a speed-up factor from about a factor 25 to 690 (with respect the conventional algorithm). The excellent results obtained on STED microscopy images demonstrate the synergy between super-resolution techniques and image-deconvolution. Further, the real-time processing allows conserving one of the most important property of STED microscopy, i.e the ability to provide fast sub-diffraction resolution recordings. |
format | Online Article Text |
id | pubmed-3755287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-37552872013-08-28 Towards real-time image deconvolution: application to confocal and STED microscopy Zanella, R. Zanghirati, G. Cavicchioli, R. Zanni, L. Boccacci, P. Bertero, M. Vicidomini, G. Sci Rep Article Although deconvolution can improve the quality of any type of microscope, the high computational time required has so far limited its massive spreading. Here we demonstrate the ability of the scaled-gradient-projection (SGP) method to provide accelerated versions of the most used algorithms in microscopy. To achieve further increases in efficiency, we also consider implementations on graphic processing units (GPUs). We test the proposed algorithms both on synthetic and real data of confocal and STED microscopy. Combining the SGP method with the GPU implementation we achieve a speed-up factor from about a factor 25 to 690 (with respect the conventional algorithm). The excellent results obtained on STED microscopy images demonstrate the synergy between super-resolution techniques and image-deconvolution. Further, the real-time processing allows conserving one of the most important property of STED microscopy, i.e the ability to provide fast sub-diffraction resolution recordings. Nature Publishing Group 2013-08-28 /pmc/articles/PMC3755287/ /pubmed/23982127 http://dx.doi.org/10.1038/srep02523 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Article Zanella, R. Zanghirati, G. Cavicchioli, R. Zanni, L. Boccacci, P. Bertero, M. Vicidomini, G. Towards real-time image deconvolution: application to confocal and STED microscopy |
title | Towards real-time image deconvolution: application to confocal and STED microscopy |
title_full | Towards real-time image deconvolution: application to confocal and STED microscopy |
title_fullStr | Towards real-time image deconvolution: application to confocal and STED microscopy |
title_full_unstemmed | Towards real-time image deconvolution: application to confocal and STED microscopy |
title_short | Towards real-time image deconvolution: application to confocal and STED microscopy |
title_sort | towards real-time image deconvolution: application to confocal and sted microscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3755287/ https://www.ncbi.nlm.nih.gov/pubmed/23982127 http://dx.doi.org/10.1038/srep02523 |
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