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DC Field | Value | Language |
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dc.citation.endPage | 61 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 50 | - |
dc.citation.title | IEEE COMPUTER GRAPHICS AND APPLICATIONS | - |
dc.citation.volume | 33 | - |
dc.contributor.author | Beyer, Johanna | - |
dc.contributor.author | Hadwiger, Markus | - |
dc.contributor.author | Al-Awami, Ali | - |
dc.contributor.author | Jeong, Won-Ki | - |
dc.contributor.author | Kasthuri, Narayanan | - |
dc.contributor.author | Lichtman, Jeff W. | - |
dc.contributor.author | Pfister, Hanspeter | - |
dc.date.accessioned | 2023-12-22T03:43:07Z | - |
dc.date.available | 2023-12-22T03:43:07Z | - |
dc.date.created | 2013-08-27 | - |
dc.date.issued | 2013-07 | - |
dc.description.abstract | Recent 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. | - |
dc.identifier.bibliographicCitation | IEEE COMPUTER GRAPHICS AND APPLICATIONS, v.33, no.4, pp.50 - 61 | - |
dc.identifier.doi | 10.1109/MCG.2013.55 | - |
dc.identifier.issn | 0272-1716 | - |
dc.identifier.scopusid | 2-s2.0-84880794787 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/4255 | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84880794787 | - |
dc.identifier.wosid | 000321941500008 | - |
dc.language | 영어 | - |
dc.publisher | IEEE COMPUTER SOC | - |
dc.title | Exploring the Connectome Petascale Volume Visualization of Microscopy Data Streams | - |
dc.type | Article | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | computer graphics | - |
dc.subject.keywordAuthor | high-resolution microscopy | - |
dc.subject.keywordAuthor | high-throughput imaging | - |
dc.subject.keywordAuthor | neuroscience | - |
dc.subject.keywordAuthor | petascale-volume exploration | - |
dc.subject.keywordAuthor | segmented volume data | - |
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