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    NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity

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    Name:
    neurolines_infovis14.pdf
    Size:
    5.845Mb
    Format:
    PDF
    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Al-Awami, Ali K. cc
    Beyer, Johanna
    Strobelt, Hendrik
    Kasthuri, Narayanan
    Lichtman, Jeff W.
    Pfister, Hanspeter
    Hadwiger, Markus cc
    KAUST Department
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Visual Computing Center (VCC)
    Date
    2014-12-31
    Permanent link to this record
    http://hdl.handle.net/10754/556113
    
    Metadata
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    Abstract
    We present NeuroLines, a novel visualization technique designed for scalable detailed analysis of neuronal connectivity at the nanoscale level. The topology of 3D brain tissue data is abstracted into a multi-scale, relative distance-preserving subway map visualization that allows domain scientists to conduct an interactive analysis of neurons and their connectivity. Nanoscale connectomics aims at reverse-engineering the wiring of the brain. Reconstructing and analyzing the detailed connectivity of neurons and neurites (axons, dendrites) will be crucial for understanding the brain and its development and diseases. However, the enormous scale and complexity of nanoscale neuronal connectivity pose big challenges to existing visualization techniques in terms of scalability. NeuroLines offers a scalable visualization framework that can interactively render thousands of neurites, and that supports the detailed analysis of neuronal structures and their connectivity. We describe and analyze the design of NeuroLines based on two real-world use-cases of our collaborators in developmental neuroscience, and investigate its scalability to large-scale neuronal connectivity data.
    Citation
    NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity 2014, 20 (12):2369 IEEE Transactions on Visualization and Computer Graphics
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Visualization and Computer Graphics
    DOI
    10.1109/TVCG.2014.2346312
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6875935
    http://people.seas.harvard.edu/~jbeyer/neurolines.html
    ae974a485f413a2113503eed53cd6c53
    10.1109/TVCG.2014.2346312
    Scopus Count
    Collections
    Articles; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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