Software Open Access

StarDist Models for "Hydrodynamics in a bubble column – Part 1: Two-phase flow"

Sommer, Anna-Elisabeth; Draw, Mazen; Wang, Lantian; Schmidtpeter, Jan; Hessenkemper, Hendrik; Gatter, Josefine; Nam, Haein; Eckert, Kerstin; Rzehak, Roland

This package contains the software and the trained models described in the publication "Hydrodynamics in a bubble column – Part 1: Two-phase flow". Please refer to the readme.md for installation instructions and to the Prediction_demo.ipynb for usage demonstration.

This project has received funding from the European Union's Horizon 2020 Marie Skłodowska-Curie Actions (MSCA), Innovative Training Networks (ITN), H2020-MSCA-ITN-2020 under grant agreement No. 955805, and the European Institute of Innovation and Technology (EIT). This body of the European Union receives support from the European Union's Horizon 2020 research and innovation programme.
Files (136.7 MB)
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Models.zip
md5:a7f84c1602a85d38c1b7a24de0580318 		86.6 MB Download
Source code.zip
md5:8e62988d2274d1287722833636b105b9 		50.1 MB Download

  • Hessenkemper, Hendrik, Starke, Sebastian, Atassi, Yazan, Ziegenhein, Thomas, & Lucas, Dirk. (2022, August 5). Software for Bubble identification from images with machine learning methods (Version 1.0). Rodare. http://doi.org/10.14278/rodare.1830

  • U. Schmidt, M. Weigert, C. Broaddus and G. Myers, in Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, Springer, Berlin 2018, 265–273.

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Publication date:
February 28, 2023
DOI:
10.14278/rodare.2174

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10.14278/rodare.2174

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Keyword(s):
StarDist Bubble detection Shadowgraphy
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https://www.hzdr.de/publications/Publ-36730
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https://www.hzdr.de/publications/Publ-37448
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Version 1.0 10.14278/rodare.2174 Feb 28, 2023
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