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AmoePy

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 13 Aug 2020 English Publisher:Zenodo
Authors: Daniel Schindler; Ted Moldenhawer; Lena Lindenmeier; Matthias Holschneider;

doi: 10.5281/zenodo.3982372 , 10.5281/zenodo.4720287 , 10.5281/zenodo.4153718 , 10.5281/zenodo.4280777

Abstract

\(\Large\textrm{Deprecated.}\) New version under this Link ___________________________________________________________ Python-based toolbox for analyzing and simulating amoeboid cell motility. Part of the Collaborative Research Center SFB 1294 (Project: B02). https://www.sfb1294.de/research/research-area-b/b02

The research of this project has been partially funded by Deutsche Forschungsgemeinschaft (DFG) - SFB1294/1 - 318763901.

Related Organizations
Keywords

cell migration, fluorescence imaging, Microscopy data, social amoeba, cell motility, Dictyostelium discoideum, amoeboid motion, data assimilation, Python

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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