NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity
dc.contributor.author | Al-Awami, Ali K. | |
dc.contributor.author | Beyer, Johanna | |
dc.contributor.author | Strobelt, Hendrik | |
dc.contributor.author | Kasthuri, Narayanan | |
dc.contributor.author | Lichtman, Jeff W. | |
dc.contributor.author | Pfister, Hanspeter | |
dc.contributor.author | Hadwiger, Markus | |
dc.date.accessioned | 2015-06-02T11:41:20Z | |
dc.date.available | 2015-06-02T11:41:20Z | |
dc.date.issued | 2014-12-31 | |
dc.identifier.citation | NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity 2014, 20 (12):2369 IEEE Transactions on Visualization and Computer Graphics | |
dc.identifier.issn | 1077-2626 | |
dc.identifier.doi | 10.1109/TVCG.2014.2346312 | |
dc.identifier.uri | http://hdl.handle.net/10754/556113 | |
dc.description.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. | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.url | http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6875935 | |
dc.relation.url | http://people.seas.harvard.edu/~jbeyer/neurolines.html | |
dc.rights | (c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. | |
dc.subject | Neuroscience | |
dc.subject | Multi-Trees | |
dc.subject | Focus+Context | |
dc.subject | Data Abstraction | |
dc.subject | Connectomics | |
dc.title | NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity | |
dc.type | Article | |
dc.contributor.department | Computer Science Program | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division | |
dc.contributor.department | Visual Computing Center (VCC) | |
dc.identifier.journal | IEEE Transactions on Visualization and Computer Graphics | |
dc.eprint.version | Post-print | |
dc.contributor.institution | School of Engineering and Applied Sciences at Harvard University | |
kaust.person | Al-Awami, Ali K. | |
kaust.person | Hadwiger, Markus | |
refterms.dateFOA | 2018-06-13T16:04:59Z |
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