Publication

High Fidelity Visualization of Large Scale Digitally Reconstructed Brain Circuitry with Signed Distance Functions

Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Sébastien Nicolas Speierer, Samuel Lieven D. Lapere, Alessandro Enrico Foni, Jonas Kristofer Karlsson
2019
Conference Papers

Abstract

We explore a first proof-of-concept application for visualizing large scale digitally reconstructed brain circuitry using signed distance functions. The significance of our method is demonstrated in comparison with using implicit geometry that is limited to provide the natural look of neurons or explicit geometry that requires huge amounts of memory and has limited scalability with larger circuits.

Official source

https://infoscience.epfl.ch/entities/publication/87df5b1a-3408-4812-92b8-43533c22de5e

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High Fidelity Visualization of Large Scale Digitally Reconstructed Brain Circuitry with Signed Distance Functions

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