|
ROLE
 Author only
BOOKMARK & SHARE
|
|
1
December 2013
IEEE Transactions on Visualization and Computer Graphics: Volume 19 Issue 12, December 2013
Publisher: IEEE Educational Activities Department
This paper presents ConnectomeExplorer, an application for the interactive exploration and query-guided visual analysis of large volumetric electron microscopy (EM) data sets in connectomics research. Our system incorporates a knowledge-based query algebra that supports the interactive specification of dynamically evaluated queries, which enable neuroscientists to pose and answer domain-specific questions ...
Keywords:
Connectomics, neuroscience, query algebra, visual knowledge discovery, petascale volume analysis
2
Randal Burns,
Kunal Lillaney,
Daniel R. Berger,
Logan Grosenick,
Karl Deisseroth,
R. Clay Reid,
William Gray Roncal,
Priya Manavalan,
Davi D. Bock,
Narayanan Kasthuri,
Michael Kazhdan,
Stephen J. Smith,
Dean Kleissas,
Eric Perlman,
Kwanghun Chung,
Nicholas C. Weiler,
Jeff Lichtman,
Alexander S. Szalay,
Joshua T. Vogelstein,
R. Jacob Vogelstein
July 2013
SSDBM: Proceedings of the 25th International Conference on Scientific and Statistical Database Management
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 4, Downloads (12 Months): 41, Downloads (Overall): 250
Full text available:
 PDF
We describe a scalable database cluster for the spatial analysis and annotation of high-throughput brain imaging data, initially for 3-d electron microscopy image stacks, but for time-series and multi-channel data as well. The system was designed primarily for workloads that build connectomes ---neural connectivity maps of the brain---using the parallel ...
Keywords:
connectomics, data-intensive computing
3
July 2013
IEEE Computer Graphics and Applications: Volume 33 Issue 4, July 2013
Publisher: IEEE Computer Society Press
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 ...
Keywords:
Data visualization,Neuroscience,Image resolution,Rendering (computer graphics),Microscopy,Streaming media,Medical image processing,computer graphics,petascale-volume exploration,segmented volume data,high-resolution microscopy,high-throughput imaging,neuroscience
|
|
