Beyond multi view deconvolution for inherently aligned fluorescence tomography

Abstract 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 tomographie...

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Autores principales:	Daniele Ancora, Gianluca Valentini, Antonio Pifferi, Andrea Bassi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/913b88326e55404fb40249aa4e96bb1e
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spelling	oai:doaj.org-article:913b88326e55404fb40249aa4e96bb1e2021-12-02T17:06:33ZBeyond multi view deconvolution for inherently aligned fluorescence tomography10.1038/s41598-021-95266-22045-2322https://doaj.org/article/913b88326e55404fb40249aa4e96bb1e2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95266-2https://doaj.org/toc/2045-2322Abstract 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.Daniele AncoraGianluca ValentiniAntonio PifferiAndrea BassiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Daniele Ancora Gianluca Valentini Antonio Pifferi Andrea Bassi Beyond multi view deconvolution for inherently aligned fluorescence tomography
description	Abstract 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.
format	article
author	Daniele Ancora Gianluca Valentini Antonio Pifferi Andrea Bassi
author_facet	Daniele Ancora Gianluca Valentini Antonio Pifferi Andrea Bassi
author_sort	Daniele Ancora
title	Beyond multi view deconvolution for inherently aligned fluorescence tomography
title_short	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_sort	beyond multi view deconvolution for inherently aligned fluorescence tomography
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/913b88326e55404fb40249aa4e96bb1e
work_keys_str_mv	AT danieleancora beyondmultiviewdeconvolutionforinherentlyalignedfluorescencetomography AT gianlucavalentini beyondmultiviewdeconvolutionforinherentlyalignedfluorescencetomography AT antoniopifferi beyondmultiviewdeconvolutionforinherentlyalignedfluorescencetomography AT andreabassi beyondmultiviewdeconvolutionforinherentlyalignedfluorescencetomography
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Beyond multi view deconvolution for inherently aligned fluorescence tomography

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