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dc.contributor.authorBeyer, Johanna
dc.contributor.authorHadwiger, Markus
dc.contributor.authorAl-Awami, Ali K.
dc.contributor.authorJeong, Wonki
dc.contributor.authorKasthuri, Narayanan
dc.contributor.authorLichtman, Jeff W M D
dc.contributor.authorPfister, Hanspeter
dc.date.accessioned2015-08-03T11:12:45Z
dc.date.available2015-08-03T11:12:45Z
dc.date.issued2013-07
dc.identifier.issn02721716
dc.identifier.pmid24808059
dc.identifier.doi10.1109/MCG.2013.55
dc.identifier.urihttp://hdl.handle.net/10754/562851
dc.description.abstractRecent advances in high-resolution microscopy let neuroscientists acquire neural-tissue volume data of extremely large sizes. However, the tremendous resolution and the high complexity of neural structures present big challenges to storage, processing, and visualization at interactive rates. A proposed system provides interactive exploration of petascale (petavoxel) volumes resulting from high-throughput electron microscopy data streams. The system can concurrently handle multiple volumes and can support the simultaneous visualization of high-resolution voxel segmentation data. Its visualization-driven design restricts most computations to a small subset of the data. It employs a multiresolution virtual-memory architecture for better scalability than previous approaches and for handling incomplete data. Researchers have employed it for a 1-teravoxel mouse cortex volume, of which several hundred axons and dendrites as well as synapses have been segmented and labeled. © 1981-2012 IEEE.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4296712
dc.subjectcomputer graphics
dc.subjecthigh-resolution microscopy
dc.subjecthigh-throughput imaging
dc.subjectneuroscience
dc.subjectpetascale-volume exploration
dc.subjectsegmented volume data
dc.titleExploring the connectome: Petascale volume visualization of microscopy data streams
dc.typeArticle
dc.contributor.departmentVisual Computing Center (VCC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.identifier.journalIEEE Computer Graphics and Applications
dc.identifier.pmcidPMC4296712
dc.contributor.institutionUlsan National Institute of Science and Technology, South Korea
dc.contributor.institutionHarvard University, Lichtman Lab, School of Engineering and Applied Sciences, United States
kaust.personBeyer, Johanna
kaust.personHadwiger, Markus
kaust.personAl-Awami, Ali K.


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