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

Marwan Abdellah, Alessandro Foni, Eleftherios Zisis, Nadir Román Guerrero, Samuel Lapere, Jay S Coggan, Daniel Keller, Henry Markram, Felix Schürmann

Research output: Contribution to journalArticlepeer-review

Abstract

Abstract Motivation 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. .
Original languageEnglish (US)
Pages (from-to)i426-i433
Number of pages1
JournalBioinformatics
Volume37
Issue numberSupplement_1
DOIs
StatePublished - Jul 12 2021
Externally publishedYes

ASJC Scopus subject areas

  • Biochemistry
  • Computational Theory and Mathematics
  • Computational Mathematics
  • Molecular Biology
  • Statistics and Probability
  • Computer Science Applications

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