Metaball skinning of synthetic astroglial morphologies into realistic mesh models for in silico simulations and visual analytics
Author(s) -
Marwan Abdellah,
Alessandro Foni,
Eleftherios Zisis,
Nadir Román Guerrero,
Samuel Lapere,
Jay S. Coggan,
Daniel Keller,
Henry Markram,
Felix Schürmann
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab280
Subject(s) - polygon mesh , computer science , python (programming language) , computational science , pipeline (software) , analytics , software , artificial intelligence , computer graphics (images) , data mining , programming language
Astrocytes, the most abundant glial cells in the mammalian brain, have an instrumental role in developing neuronal circuits. They contribute to the physical structuring of the brain, modulating synaptic activity and maintaining the blood-brain barrier in addition to other significant aspects that impact brain function. Biophysically, detailed astrocytic models are key to unraveling their functional mechanisms via molecular simulations at microscopic scales. Detailed, and complete, biological reconstructions of astrocytic cells are sparse. Nonetheless, data-driven digital reconstruction of astroglial morphologies that are statistically identical to biological counterparts are becoming available. We use those synthetic morphologies to generate astrocytic meshes with realistic geometries, making it possible to perform these simulations.
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