ImagePy: an open-source, Python-based and platform-independent software package for bioimage analysis
Abstract Summary This note presents the design of a scalable software package named ImagePy for analysing biological images. Our contribution is concentrated on facilitating extensibility and interoperability of the software through decoupling the data model from the user interface. Especially with...
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| Published in | Bioinformatics Vol. 34; no. 18; pp. 3238 - 3240 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Oxford University Press
15.09.2018
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| Online Access | Get full text |
| ISSN | 1367-4803 1367-4811 1460-2059 1367-4811 |
| DOI | 10.1093/bioinformatics/bty313 |
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| Abstract | Abstract
Summary
This note presents the design of a scalable software package named ImagePy for analysing biological images. Our contribution is concentrated on facilitating extensibility and interoperability of the software through decoupling the data model from the user interface. Especially with assistance from the Python ecosystem, this software framework makes modern computer algorithms easier to be applied in bioimage analysis.
Availability and implementation
ImagePy is free and open source software, with documentation and code available at https://github.com/Image-Py/imagepy under the BSD license. It has been tested on the Windows, Mac and Linux operating systems. |
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| AbstractList | Abstract
Summary
This note presents the design of a scalable software package named ImagePy for analysing biological images. Our contribution is concentrated on facilitating extensibility and interoperability of the software through decoupling the data model from the user interface. Especially with assistance from the Python ecosystem, this software framework makes modern computer algorithms easier to be applied in bioimage analysis.
Availability and implementation
ImagePy is free and open source software, with documentation and code available at https://github.com/Image-Py/imagepy under the BSD license. It has been tested on the Windows, Mac and Linux operating systems. This note presents the design of a scalable software package named ImagePy for analysing biological images. Our contribution is concentrated on facilitating extensibility and interoperability of the software through decoupling the data model from the user interface. Especially with assistance from the Python ecosystem, this software framework makes modern computer algorithms easier to be applied in bioimage analysis.SummaryThis note presents the design of a scalable software package named ImagePy for analysing biological images. Our contribution is concentrated on facilitating extensibility and interoperability of the software through decoupling the data model from the user interface. Especially with assistance from the Python ecosystem, this software framework makes modern computer algorithms easier to be applied in bioimage analysis.ImagePy is free and open source software, with documentation and code available at https://github.com/Image-Py/imagepy under the BSD license. It has been tested on the Windows, Mac and Linux operating systems.Availability and implementationImagePy is free and open source software, with documentation and code available at https://github.com/Image-Py/imagepy under the BSD license. It has been tested on the Windows, Mac and Linux operating systems. This note presents the design of a scalable software package named ImagePy for analysing biological images. Our contribution is concentrated on facilitating extensibility and interoperability of the software through decoupling the data model from the user interface. Especially with assistance from the Python ecosystem, this software framework makes modern computer algorithms easier to be applied in bioimage analysis. ImagePy is free and open source software, with documentation and code available at https://github.com/Image-Py/imagepy under the BSD license. It has been tested on the Windows, Mac and Linux operating systems. |
| Author | Yan, Xiaolong Wei, Zhijun Wang, Anliang |
| Author_xml | – sequence: 1 givenname: Anliang surname: Wang fullname: Wang, Anliang organization: Division of Marine Disaster Forecasting and Warning, National Marine Environmental Forecasting Center, Haidian District, Beijing, China – sequence: 2 givenname: Xiaolong surname: Yan fullname: Yan, Xiaolong email: yxdragon@imagepy.org organization: Division of Marine Disaster Forecasting and Warning, National Marine Environmental Forecasting Center, Haidian District, Beijing, China – sequence: 3 givenname: Zhijun surname: Wei fullname: Wei, Zhijun email: wzjdlut@dlut.edu.cn organization: State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29718132$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1093/bioinformatics/btw413 10.1109/MCSE.2011.37 10.1038/nbt.3722 10.1109/MCSE.2011.36 10.1186/s12859-017-1934-z 10.1038/nmeth.2089 10.1093/bioinformatics/btw390 10.1109/MCSE.2010.119 10.1038/nmeth.2082 10.1109/MCSE.2007.55 10.1093/bioinformatics/btu158 10.7717/peerj.453 |
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This note presents the design of a scalable software package named ImagePy for analysing biological images. Our contribution is concentrated... This note presents the design of a scalable software package named ImagePy for analysing biological images. Our contribution is concentrated on facilitating... |
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| Title | ImagePy: an open-source, Python-based and platform-independent software package for bioimage analysis |
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