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Beyond multi view deconvolution for inherently aligned fluorescence tomography

In multi-view fluorescence microscopy, each angular acquisition needs to be aligned with care to obtain an optimal volumetric reconstruction. Here, instead, we propose a neat protocol based on auto-correlation inversion, that leads directly to the formation of inherently aligned tomographies. Our me...

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Detalles Bibliográficos
Autores principales: Ancora, Daniele, Valentini, Gianluca, Pifferi, Antonio, Bassi, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8333050/
https://www.ncbi.nlm.nih.gov/pubmed/34344932
http://dx.doi.org/10.1038/s41598-021-95266-2
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author Ancora, Daniele
Valentini, Gianluca
Pifferi, Antonio
Bassi, Andrea
author_facet Ancora, Daniele
Valentini, Gianluca
Pifferi, Antonio
Bassi, Andrea
author_sort Ancora, Daniele
collection PubMed
description In multi-view fluorescence microscopy, each angular acquisition needs to be aligned with care to obtain an optimal volumetric reconstruction. Here, instead, we propose a neat protocol based on auto-correlation inversion, that leads directly to the formation of inherently aligned tomographies. Our method generates sharp reconstructions, with the same accuracy reachable after sub-pixel alignment but with improved point-spread-function. The procedure can be performed simultaneously with deconvolution further increasing the reconstruction resolution.
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spelling pubmed-83330502021-08-04 Beyond multi view deconvolution for inherently aligned fluorescence tomography Ancora, Daniele Valentini, Gianluca Pifferi, Antonio Bassi, Andrea Sci Rep Article In multi-view fluorescence microscopy, each angular acquisition needs to be aligned with care to obtain an optimal volumetric reconstruction. Here, instead, we propose a neat protocol based on auto-correlation inversion, that leads directly to the formation of inherently aligned tomographies. Our method generates sharp reconstructions, with the same accuracy reachable after sub-pixel alignment but with improved point-spread-function. The procedure can be performed simultaneously with deconvolution further increasing the reconstruction resolution. Nature Publishing Group UK 2021-08-03 /pmc/articles/PMC8333050/ /pubmed/34344932 http://dx.doi.org/10.1038/s41598-021-95266-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ancora, Daniele
Valentini, Gianluca
Pifferi, Antonio
Bassi, Andrea
Beyond multi view deconvolution for inherently aligned fluorescence tomography
title Beyond multi view deconvolution for inherently aligned fluorescence tomography
title_full Beyond multi view deconvolution for inherently aligned fluorescence tomography
title_fullStr Beyond multi view deconvolution for inherently aligned fluorescence tomography
title_full_unstemmed Beyond multi view deconvolution for inherently aligned fluorescence tomography
title_short Beyond multi view deconvolution for inherently aligned fluorescence tomography
title_sort beyond multi view deconvolution for inherently aligned fluorescence tomography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8333050/
https://www.ncbi.nlm.nih.gov/pubmed/34344932
http://dx.doi.org/10.1038/s41598-021-95266-2
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