Metaball skinning of synthetic astroglial morphologies into realistic mesh models for visual analytics and in silico simulations

Summary 

The dataset contained in this repository is the resulting meshes from applying the Metaball skinner in Blender to the astrocytic morphologies created by Zisis et al., 2021.   

The paper, Metaball skinning of synthetic astroglial morphologies into realistic mesh models for visual analytics and in silico simulations, is published in Oxford Bioinformatics. 

Dataset

The dataset contains

1. 30 randomly astroglial morphologies,  
2. 30 corresponding surface and volume meshes (created with TetGen),
3. 1000 astroglial morphologies, for large scale testing, 
4. meshes that are generated from the Metaball skinning algorithm,
5. meshes that are created from running the optimizer on the skinned meshes,
6. decimated meshes that can be used for visualization purpose, 
7. high quality renderings of all the astrocytic meshes, and 
8. comparative statistical analysis for the skinned meshes and the optimized watertight meshes.  

Paper record

Bioinformatics, Volume 37, Issue Supplement_1, July 2021, Pages i426–i433, https://doi.org/10.1093/bioinformatics/btab280

Paper abstract 

BibTex citation

@article{abdellah2021metaball,
  title={Metaball skinning of synthetic astroglial morphologies into realistic mesh models 
for in silico simulations and visual analytics},
  author={Abdellah, Marwan and Foni, Alessandro and Zisis, Eleftherios and Guerrero, Nadir Roman and Lapere, 
Samuel and Coggan, Jay S and Keller, Daniel and Markram, Henry and Sch{\"u}rmann, Felix},
  journal={Bioinformatics},
  volume={37},
  number={Supplement\_1},
  pages={i426--i433},
  year={2021},
  publisher={Oxford University Press}
}