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2D map projections for visualization and quantitative analysis of 3D fluorescence micrographs

We introduce Map3-2D, a freely available software to accurately project up to five-dimensional (5D) fluorescence microscopy image data onto full-content 2D maps. Similar to the Earth’s projection onto cartographic maps, Map3-2D unfolds surface information from a stack of images onto a single, struct...

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Detalles Bibliográficos
Autores principales: Sendra, G. Hernán, Hoerth, Christian H., Wunder, Christian, Lorenz, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4513544/
https://www.ncbi.nlm.nih.gov/pubmed/26208256
http://dx.doi.org/10.1038/srep12457
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author Sendra, G. Hernán
Hoerth, Christian H.
Wunder, Christian
Lorenz, Holger
author_facet Sendra, G. Hernán
Hoerth, Christian H.
Wunder, Christian
Lorenz, Holger
author_sort Sendra, G. Hernán
collection PubMed
description We introduce Map3-2D, a freely available software to accurately project up to five-dimensional (5D) fluorescence microscopy image data onto full-content 2D maps. Similar to the Earth’s projection onto cartographic maps, Map3-2D unfolds surface information from a stack of images onto a single, structurally connected map. We demonstrate its applicability for visualization and quantitative analyses of spherical and uneven surfaces in fixed and dynamic live samples by using mammalian and yeast cells, and giant unilamellar vesicles. Map3-2D software is available at http://www.zmbh.uni-heidelberg.de//Central_Services/Imaging_Facility/Map3-2D.html.
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spelling pubmed-45135442015-07-29 2D map projections for visualization and quantitative analysis of 3D fluorescence micrographs Sendra, G. Hernán Hoerth, Christian H. Wunder, Christian Lorenz, Holger Sci Rep Article We introduce Map3-2D, a freely available software to accurately project up to five-dimensional (5D) fluorescence microscopy image data onto full-content 2D maps. Similar to the Earth’s projection onto cartographic maps, Map3-2D unfolds surface information from a stack of images onto a single, structurally connected map. We demonstrate its applicability for visualization and quantitative analyses of spherical and uneven surfaces in fixed and dynamic live samples by using mammalian and yeast cells, and giant unilamellar vesicles. Map3-2D software is available at http://www.zmbh.uni-heidelberg.de//Central_Services/Imaging_Facility/Map3-2D.html. Nature Publishing Group 2015-07-24 /pmc/articles/PMC4513544/ /pubmed/26208256 http://dx.doi.org/10.1038/srep12457 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Sendra, G. Hernán
Hoerth, Christian H.
Wunder, Christian
Lorenz, Holger
2D map projections for visualization and quantitative analysis of 3D fluorescence micrographs
title 2D map projections for visualization and quantitative analysis of 3D fluorescence micrographs
title_full 2D map projections for visualization and quantitative analysis of 3D fluorescence micrographs
title_fullStr 2D map projections for visualization and quantitative analysis of 3D fluorescence micrographs
title_full_unstemmed 2D map projections for visualization and quantitative analysis of 3D fluorescence micrographs
title_short 2D map projections for visualization and quantitative analysis of 3D fluorescence micrographs
title_sort 2d map projections for visualization and quantitative analysis of 3d fluorescence micrographs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4513544/
https://www.ncbi.nlm.nih.gov/pubmed/26208256
http://dx.doi.org/10.1038/srep12457
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