Literature DB >> 29718132

ImagePy: an open-source, Python-based and platform-independent software package for bioimage analysis.

Anliang Wang1, Xiaolong Yan1, Zhijun Wei2.   

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.

Mesh:

Year:  2018        PMID: 29718132     DOI: 10.1093/bioinformatics/bty313

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  2 in total

1.  PartSeg: a tool for quantitative feature extraction from 3D microscopy images for dummies.

Authors:  Grzegorz Bokota; Jacek Sroka; Subhadip Basu; Nirmal Das; Pawel Trzaskoma; Yana Yushkevich; Agnieszka Grabowska; Adriana Magalska; Dariusz Plewczynski
Journal:  BMC Bioinformatics       Date:  2021-02-17       Impact factor: 3.169

2.  Ultrahigh and Tunable Electromagnetic Interference Shielding Performance of PVDF Composite Induced by Nano-Micro Cellular Structure.

Authors:  Yang Yang; Shuiping Zeng; Xiping Li; Zhonglue Hu; Jiajia Zheng
Journal:  Polymers (Basel)       Date:  2022-01-07       Impact factor: 4.329

  2 in total

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