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dc.contributor.authorAl-Awami, Ali K.
dc.contributor.authorBeyer, Johanna
dc.contributor.authorStrobelt, Hendrik
dc.contributor.authorKasthuri, Narayanan
dc.contributor.authorLichtman, Jeff W.
dc.contributor.authorPfister, Hanspeter
dc.contributor.authorHadwiger, Markus
dc.date.accessioned2015-06-02T11:41:20Z
dc.date.available2015-06-02T11:41:20Z
dc.date.issued2014-12-31
dc.identifier.citationNeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity 2014, 20 (12):2369 IEEE Transactions on Visualization and Computer Graphics
dc.identifier.issn1077-2626
dc.identifier.doi10.1109/TVCG.2014.2346312
dc.identifier.urihttp://hdl.handle.net/10754/556113
dc.description.abstractWe 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.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6875935
dc.relation.urlhttp://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.subjectNeuroscience
dc.subjectMulti-Trees
dc.subjectFocus+Context
dc.subjectData Abstraction
dc.subjectConnectomics
dc.titleNeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity
dc.typeArticle
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalIEEE Transactions on Visualization and Computer Graphics
dc.eprint.versionPost-print
dc.contributor.institutionSchool of Engineering and Applied Sciences at Harvard University
kaust.personAl-Awami, Ali K.
kaust.personHadwiger, Markus
refterms.dateFOA2018-06-13T16:04:59Z


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