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An interactive and intuitive visualisation method for X-ray computed tomography data of biological samples in 3D Portable Document Format

3D imaging approaches based on X-ray microcomputed tomography (microCT) have become increasingly accessible with advancements in methods, instruments and expertise. The synergy of material and life sciences has impacted biomedical research by proposing new tools for investigation. However, data shar...

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Autores principales: Tesařová, Markéta, Heude, Eglantine, Comai, Glenda, Zikmund, Tomáš, Kaucká, Markéta, Adameyko, Igor, Tajbakhsh, Shahragim, Kaiser, Jozef
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797759/
https://www.ncbi.nlm.nih.gov/pubmed/31624273
http://dx.doi.org/10.1038/s41598-019-51180-2
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author Tesařová, Markéta
Heude, Eglantine
Comai, Glenda
Zikmund, Tomáš
Kaucká, Markéta
Adameyko, Igor
Tajbakhsh, Shahragim
Kaiser, Jozef
author_facet Tesařová, Markéta
Heude, Eglantine
Comai, Glenda
Zikmund, Tomáš
Kaucká, Markéta
Adameyko, Igor
Tajbakhsh, Shahragim
Kaiser, Jozef
author_sort Tesařová, Markéta
collection PubMed
description 3D imaging approaches based on X-ray microcomputed tomography (microCT) have become increasingly accessible with advancements in methods, instruments and expertise. The synergy of material and life sciences has impacted biomedical research by proposing new tools for investigation. However, data sharing remains challenging as microCT files are usually in the range of gigabytes and require specific and expensive software for rendering and interpretation. Here, we provide an advanced method for visualisation and interpretation of microCT data with small file formats, readable on all operating systems, using freely available Portable Document Format (PDF) software. Our method is based on the conversion of volumetric data into interactive 3D PDF, allowing rotation, movement, magnification and setting modifications of objects, thus providing an intuitive approach to analyse structures in a 3D context. We describe the complete pipeline from data acquisition, data processing and compression, to 3D PDF formatting on an example of craniofacial anatomical morphology in the mouse embryo. Our procedure is widely applicable in biological research and can be used as a framework to analyse volumetric data from any research field relying on 3D rendering and CT-biomedical imaging.
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spelling pubmed-67977592019-10-25 An interactive and intuitive visualisation method for X-ray computed tomography data of biological samples in 3D Portable Document Format Tesařová, Markéta Heude, Eglantine Comai, Glenda Zikmund, Tomáš Kaucká, Markéta Adameyko, Igor Tajbakhsh, Shahragim Kaiser, Jozef Sci Rep Article 3D imaging approaches based on X-ray microcomputed tomography (microCT) have become increasingly accessible with advancements in methods, instruments and expertise. The synergy of material and life sciences has impacted biomedical research by proposing new tools for investigation. However, data sharing remains challenging as microCT files are usually in the range of gigabytes and require specific and expensive software for rendering and interpretation. Here, we provide an advanced method for visualisation and interpretation of microCT data with small file formats, readable on all operating systems, using freely available Portable Document Format (PDF) software. Our method is based on the conversion of volumetric data into interactive 3D PDF, allowing rotation, movement, magnification and setting modifications of objects, thus providing an intuitive approach to analyse structures in a 3D context. We describe the complete pipeline from data acquisition, data processing and compression, to 3D PDF formatting on an example of craniofacial anatomical morphology in the mouse embryo. Our procedure is widely applicable in biological research and can be used as a framework to analyse volumetric data from any research field relying on 3D rendering and CT-biomedical imaging. Nature Publishing Group UK 2019-10-17 /pmc/articles/PMC6797759/ /pubmed/31624273 http://dx.doi.org/10.1038/s41598-019-51180-2 Text en © The Author(s) 2019 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
Tesařová, Markéta
Heude, Eglantine
Comai, Glenda
Zikmund, Tomáš
Kaucká, Markéta
Adameyko, Igor
Tajbakhsh, Shahragim
Kaiser, Jozef
An interactive and intuitive visualisation method for X-ray computed tomography data of biological samples in 3D Portable Document Format
title An interactive and intuitive visualisation method for X-ray computed tomography data of biological samples in 3D Portable Document Format
title_full An interactive and intuitive visualisation method for X-ray computed tomography data of biological samples in 3D Portable Document Format
title_fullStr An interactive and intuitive visualisation method for X-ray computed tomography data of biological samples in 3D Portable Document Format
title_full_unstemmed An interactive and intuitive visualisation method for X-ray computed tomography data of biological samples in 3D Portable Document Format
title_short An interactive and intuitive visualisation method for X-ray computed tomography data of biological samples in 3D Portable Document Format
title_sort interactive and intuitive visualisation method for x-ray computed tomography data of biological samples in 3d portable document format
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797759/
https://www.ncbi.nlm.nih.gov/pubmed/31624273
http://dx.doi.org/10.1038/s41598-019-51180-2
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