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PyPore3D: An Open Source Software Tool for Imaging Data Processing and Analysis of Porous and Multiphase Media
In this work, we propose the software library PyPore3D, an open source solution for data processing of large 3D/4D tomographic data sets. PyPore3D is based on the Pore3D core library, developed thanks to the collaboration between Elettra Sincrotrone (Trieste) and the University of Trieste (Italy). T...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321761/ https://www.ncbi.nlm.nih.gov/pubmed/35877630 http://dx.doi.org/10.3390/jimaging8070187 |
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author | Aboulhassan, Amal Brun, Francesco Kourousias, George Lanzafame, Gabriele Voltolini, Marco Contillo, Adriano Mancini, Lucia |
author_facet | Aboulhassan, Amal Brun, Francesco Kourousias, George Lanzafame, Gabriele Voltolini, Marco Contillo, Adriano Mancini, Lucia |
author_sort | Aboulhassan, Amal |
collection | PubMed |
description | In this work, we propose the software library PyPore3D, an open source solution for data processing of large 3D/4D tomographic data sets. PyPore3D is based on the Pore3D core library, developed thanks to the collaboration between Elettra Sincrotrone (Trieste) and the University of Trieste (Italy). The Pore3D core library is built with a distinction between the User Interface and the backend filtering, segmentation, morphological processing, skeletonisation and analysis functions. The current Pore3D version relies on the closed source IDL framework to call the backend functions and enables simple scripting procedures for streamlined data processing. PyPore3D addresses this limitation by proposing a full open source solution which provides Python wrappers to the the Pore3D C library functions. The PyPore3D library allows the users to fully use the Pore3D Core Library as an open source solution under Python and Jupyter Notebooks PyPore3D is both getting rid of all the intrinsic limitations of licensed platforms (e.g., closed source and export restrictions) and adding, when needed, the flexibility of being able to integrate scientific libraries available for Python (SciPy, TensorFlow, etc.). |
format | Online Article Text |
id | pubmed-9321761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93217612022-07-27 PyPore3D: An Open Source Software Tool for Imaging Data Processing and Analysis of Porous and Multiphase Media Aboulhassan, Amal Brun, Francesco Kourousias, George Lanzafame, Gabriele Voltolini, Marco Contillo, Adriano Mancini, Lucia J Imaging Article In this work, we propose the software library PyPore3D, an open source solution for data processing of large 3D/4D tomographic data sets. PyPore3D is based on the Pore3D core library, developed thanks to the collaboration between Elettra Sincrotrone (Trieste) and the University of Trieste (Italy). The Pore3D core library is built with a distinction between the User Interface and the backend filtering, segmentation, morphological processing, skeletonisation and analysis functions. The current Pore3D version relies on the closed source IDL framework to call the backend functions and enables simple scripting procedures for streamlined data processing. PyPore3D addresses this limitation by proposing a full open source solution which provides Python wrappers to the the Pore3D C library functions. The PyPore3D library allows the users to fully use the Pore3D Core Library as an open source solution under Python and Jupyter Notebooks PyPore3D is both getting rid of all the intrinsic limitations of licensed platforms (e.g., closed source and export restrictions) and adding, when needed, the flexibility of being able to integrate scientific libraries available for Python (SciPy, TensorFlow, etc.). MDPI 2022-07-07 /pmc/articles/PMC9321761/ /pubmed/35877630 http://dx.doi.org/10.3390/jimaging8070187 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Aboulhassan, Amal Brun, Francesco Kourousias, George Lanzafame, Gabriele Voltolini, Marco Contillo, Adriano Mancini, Lucia PyPore3D: An Open Source Software Tool for Imaging Data Processing and Analysis of Porous and Multiphase Media |
title | PyPore3D: An Open Source Software Tool for Imaging Data Processing and Analysis of Porous and Multiphase Media |
title_full | PyPore3D: An Open Source Software Tool for Imaging Data Processing and Analysis of Porous and Multiphase Media |
title_fullStr | PyPore3D: An Open Source Software Tool for Imaging Data Processing and Analysis of Porous and Multiphase Media |
title_full_unstemmed | PyPore3D: An Open Source Software Tool for Imaging Data Processing and Analysis of Porous and Multiphase Media |
title_short | PyPore3D: An Open Source Software Tool for Imaging Data Processing and Analysis of Porous and Multiphase Media |
title_sort | pypore3d: an open source software tool for imaging data processing and analysis of porous and multiphase media |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321761/ https://www.ncbi.nlm.nih.gov/pubmed/35877630 http://dx.doi.org/10.3390/jimaging8070187 |
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