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    Generating High Fidelity Surface Meshes of Neocortical Neurons using Skin Modifiers (Unknown language)

    In: Computer Graphics and Visual Computing (CGVC) ; 45-53  ; 2019

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    We present the results of exploring the capabilities of skinning modifiers to generate high fidelity polygonal surface meshes of neurons from their morphological skeletons that are segmented from optical microscopy slides. Our algorithm is implemented in Blender as an add-on relying on its standard Python API. The implementation is also integrated into an open source domain specific framework, NeuroMorphoVis, that is used to visualize and analyze neuronal morphologies available from the neuroscientific community. Our technique is applied to create meshes for a set of neurons with 55 different morphologies reconstructed from the neocortex of a 14-days-old rat. The generated meshes are used to visualize full compartmental simulations of neocortical activity for analysis purposes and also to create high quality scientific illustrations of in silico neuronal circuits for media production with physically-based path tracers.

    Table of contents conference proceedings

    The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

    1
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    35
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    45
    Generating High Fidelity Surface Meshes of Neocortical Neurons using Skin Modifiers
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    55
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    65
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    75
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    85
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    95
    Deep Terrain Expansion: Terrain Texture Synthesis with Deep Learning
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    97
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    103
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    105
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    115
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    125
    Projectional Radiography Simulator: an Interactive Teaching Tool
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    129
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    135
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    141
    Towards a Tool for the Creation of Micro-visualisations
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    147
    Sampling with Pinwheel Tiles
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    149
    Colour Processing in Adversarial Attacks on Face Liveness Systems
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    How to get this title?

    Check access
    Download
    Commercial Copyright fee: €14.50 Basic fee: €4.00 Total price: €18.50
    Academic Copyright fee: €4.50 Basic fee: €2.00 Total price: €6.50

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