Data

Qiber3D - an open-source software package for the quantitative analysis of networks from 3D image stacks

Queensland University of Technology
Jaeschke, Anna ; Eckert, Hagen ; Bray, Laura J
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25912/RDF_1646370223982&rft.title=Qiber3D - an open-source software package for the quantitative analysis of networks from 3D image stacks&rft.identifier=10.25912/RDF_1646370223982&rft.publisher=Queensland University of Technology&rft.description=Here we present Qiber3D, an open-source image processing toolkit. The software package includes the essential image analysis procedures required for image processing, from the raw image to the quantified data. Optional pre-processing steps can be switched on/off depending on the input data to allow for analyzing networks from a variety of sources. Two reconstruction algorithms are offered to meet the requirements for a wide range of network types. Furthermore, Qiber3D’s rendering capabilities enable the user to inspect each step of the image analysis process interactively to ensure the creation of an optimal workflow for each application. Qiber3D is implemented as a Python package and its source code is freely available at . The toolkit was designed using a building block principle to enable the analysis a variety of structures, such as vascular networks, neuronal structures, or scaffolds from numerous input formats. While Qiber3D can be used interactively in the Python console, it is aimed at unsupervised automation to process large image datasets efficiently. &rft.creator=Jaeschke, Anna &rft.creator=Eckert, Hagen &rft.creator=Bray, Laura J &rft.date=2021&rft.edition=1&rft_rights=© Queensland University of Technology, Anna Jaeschke and Hagen Eckert, 2021. &rft_rights=MIT License&rft_subject=Other physical sciences&rft_subject=PHYSICAL SCIENCES&rft_subject=Image processing&rft_subject=Biomedical engineering&rft_subject=ENGINEERING&rft.type=dataset&rft.language=English Access the data

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© Queensland University of Technology, Anna Jaeschke and Hagen Eckert, 2021.

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Contact Information

Postal Address:
Dr Laura Bray
Ph: +61 7 3138 6326

laura.bray@qut.edu.au

Full description

Here we present Qiber3D, an open-source image processing toolkit. The software package includes the essential image analysis procedures required for image processing, from the raw image to the quantified data. Optional pre-processing steps can be switched on/off depending on the input data to allow for analyzing networks from a variety of sources. Two reconstruction algorithms are offered to meet the requirements for a wide range of network types. Furthermore, Qiber3D’s rendering capabilities enable the user to inspect each step of the image analysis process interactively to ensure the creation of an optimal workflow for each application.


Qiber3D is implemented as a Python package and its source code is freely available at . The toolkit was designed using a building block principle to enable the analysis a variety of structures, such as vascular networks, neuronal structures, or scaffolds from numerous input formats. While Qiber3D can be used interactively in the Python console, it is aimed at unsupervised automation to process large image datasets efficiently.

Data time period: 28 01 2021 to 25 10 2021

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