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Three-dimensional bright-field microscopy with isotropic resolution based on multi-view acquisition and image fusion reconstruction

Optical Projection Tomography (OPT) is a powerful three-dimensional imaging technique used for the observation of millimeter-scaled biological samples, compatible with bright-field and fluorescence contrast. OPT is affected by spatially variant artifacts caused by the fact that light diffraction is...

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Autores principales: Calisesi, Gianmaria, Candeo, Alessia, Farina, Andrea, D’Andrea, Cosimo, Magni, Vittorio, Valentini, Gianluca, Pistocchi, Anna, Costa, Alex, Bassi, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392767/
https://www.ncbi.nlm.nih.gov/pubmed/32728161
http://dx.doi.org/10.1038/s41598-020-69730-4
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author Calisesi, Gianmaria
Candeo, Alessia
Farina, Andrea
D’Andrea, Cosimo
Magni, Vittorio
Valentini, Gianluca
Pistocchi, Anna
Costa, Alex
Bassi, Andrea
author_facet Calisesi, Gianmaria
Candeo, Alessia
Farina, Andrea
D’Andrea, Cosimo
Magni, Vittorio
Valentini, Gianluca
Pistocchi, Anna
Costa, Alex
Bassi, Andrea
author_sort Calisesi, Gianmaria
collection PubMed
description Optical Projection Tomography (OPT) is a powerful three-dimensional imaging technique used for the observation of millimeter-scaled biological samples, compatible with bright-field and fluorescence contrast. OPT is affected by spatially variant artifacts caused by the fact that light diffraction is not taken into account by the straight-light propagation models used for reconstruction. These artifacts hinder high-resolution imaging with OPT. In this work we show that, by using a multiview imaging approach, a 3D reconstruction of the bright-field contrast can be obtained without the diffraction artifacts typical of OPT, drastically reducing the amount of acquired data, compared to previously reported approaches. The method, purely based on bright-field contrast of the unstained sample, provides a comprehensive picture of the sample anatomy, as demonstrated in vivo on Arabidopsis thaliana and zebrafish embryos. Furthermore, this bright-field reconstruction can be implemented on practically any multi-view light-sheet fluorescence microscope without complex hardware modifications or calibrations, complementing the fluorescence information with tissue anatomy.
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spelling pubmed-73927672020-07-31 Three-dimensional bright-field microscopy with isotropic resolution based on multi-view acquisition and image fusion reconstruction Calisesi, Gianmaria Candeo, Alessia Farina, Andrea D’Andrea, Cosimo Magni, Vittorio Valentini, Gianluca Pistocchi, Anna Costa, Alex Bassi, Andrea Sci Rep Article Optical Projection Tomography (OPT) is a powerful three-dimensional imaging technique used for the observation of millimeter-scaled biological samples, compatible with bright-field and fluorescence contrast. OPT is affected by spatially variant artifacts caused by the fact that light diffraction is not taken into account by the straight-light propagation models used for reconstruction. These artifacts hinder high-resolution imaging with OPT. In this work we show that, by using a multiview imaging approach, a 3D reconstruction of the bright-field contrast can be obtained without the diffraction artifacts typical of OPT, drastically reducing the amount of acquired data, compared to previously reported approaches. The method, purely based on bright-field contrast of the unstained sample, provides a comprehensive picture of the sample anatomy, as demonstrated in vivo on Arabidopsis thaliana and zebrafish embryos. Furthermore, this bright-field reconstruction can be implemented on practically any multi-view light-sheet fluorescence microscope without complex hardware modifications or calibrations, complementing the fluorescence information with tissue anatomy. Nature Publishing Group UK 2020-07-29 /pmc/articles/PMC7392767/ /pubmed/32728161 http://dx.doi.org/10.1038/s41598-020-69730-4 Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Calisesi, Gianmaria
Candeo, Alessia
Farina, Andrea
D’Andrea, Cosimo
Magni, Vittorio
Valentini, Gianluca
Pistocchi, Anna
Costa, Alex
Bassi, Andrea
Three-dimensional bright-field microscopy with isotropic resolution based on multi-view acquisition and image fusion reconstruction
title Three-dimensional bright-field microscopy with isotropic resolution based on multi-view acquisition and image fusion reconstruction
title_full Three-dimensional bright-field microscopy with isotropic resolution based on multi-view acquisition and image fusion reconstruction
title_fullStr Three-dimensional bright-field microscopy with isotropic resolution based on multi-view acquisition and image fusion reconstruction
title_full_unstemmed Three-dimensional bright-field microscopy with isotropic resolution based on multi-view acquisition and image fusion reconstruction
title_short Three-dimensional bright-field microscopy with isotropic resolution based on multi-view acquisition and image fusion reconstruction
title_sort three-dimensional bright-field microscopy with isotropic resolution based on multi-view acquisition and image fusion reconstruction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392767/
https://www.ncbi.nlm.nih.gov/pubmed/32728161
http://dx.doi.org/10.1038/s41598-020-69730-4
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