The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience

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— neura...

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Detalles Bibliográficos
Autores principales: Burns, Randal, Roncal, William Gray, Kleissas, Dean, Lillaney, Kunal, Manavalan, Priya, Perlman, Eric, Berger, Daniel R., Bock, Davi D., Chung, Kwanghun, Grosenick, Logan, Kasthuri, Narayanan, Weiler, Nicholas C., Deisseroth, Karl, Kazhdan, Michael, Lichtman, Jeff, Reid, R. Clay, Smith, Stephen J., Szalay, Alexander S., Vogelstein, Joshua T., Vogelstein, R. Jacob
Formato: Artigo
Lenguaje:Inglês
Publicado: 2013
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Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC3881956/
https://ncbi.nlm.nih.gov/pubmed/24401992
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/2484838.2484870
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