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The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience
Found in: Proceedings of the 25th International Conference on Scientific and Statistical Database Management (SSDBM)
By Alexander S. Szalay, Daniel R. Berger, Davi D. Bock, Dean Kleissas, Eric Perlman, Jeff Lichtman, Joshua T. Vogelstein, Karl Deisseroth, Kunal Lillaney, Kwanghun Chung, Logan Grosenick, Michael Kazhdan, Narayanan Kasthuri, Nicholas C. Weiler, Priya Manavalan, R. Clay Reid, R. Jacob Vogelstein, Randal Burns, Stephen J. Smith, William Gray Roncal
Issue Date:July 2013
pp. 1-11
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...