Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience

Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience

<h3>Abstract</h3><p dir="ltr">Ultraliser is a neuroscience-specific software framework capable of creating accurate and biologically realistic 3D models of complex neuroscientific structures at intracellular (e.g. mitochondria and endoplasmic reticula), cellular (e.g. neu...

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Bibliographic Details
Main Author: Marwan Abdellah (4435360) (author)
Other Authors: Juan José García Cantero (19482310) (author), Nadir Román Guerrero (19482313) (author), Alessandro Foni (19482316) (author), Jay S Coggan (19482319) (author), Corrado Calì (5474372) (author), Marco Agus (8032898) (author), Eleftherios Zisis (19482322) (author), Daniel Keller (736343) (author), Markus Hadwiger (2567419) (author), Pierre J Magistretti (8490159) (author), Henry Markram (279518) (author), Felix Schürmann (171947) (author)
Published: 2022
Subjects:
Biomedical and clinical sciences
Neurosciences
Information and computing sciences
Computer vision and multimedia computation
ultrastructure
mesh reconstruction
voxelization
watertight
in silico
molecular simulations
reaction–diffusion simulations
optical imaging simulations
Ultraliser
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