SSECRETT and NeuroTrace: Interactive Visualization and Analysis Tools for Large-Scale Neuroscience Datasets

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SSECRETT and NeuroTrace: Interactive Visualization and Analysis Tools for Large-Scale Neuroscience Datasets

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Title: SSECRETT and NeuroTrace: Interactive Visualization and Analysis Tools for Large-Scale Neuroscience Datasets
Author: Jeong, Won-Ki; Beyer, Johanna; Hadwiger, Markus; Blue, Rusty; Law, Charles; Vazquez, Amelio; Reid, Clay; Lichtman, Jeff; Pfister, Hanspeter

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Citation: Jeong, Won-Ki, Johanna Beyer, Markus Hadwiger, Rusty Blue, Charles Law, Amelio Vazquez, Clay Reid, Jeff Lichtman, and Hanspeter Pfister. SSECRETT and NeuroTrace: interactive visualization and analysis tools for large-scale neuroscience datasets. IEEE Computer Graphics and Applications 30(3): 58-70.
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Abstract: Recent advances in optical and electron microscopy allow scientists to acquire extremely high-resolution images for neuroscience research. Datasets imaged with modern electron microscopes can range between tens of terabytes to about one petabyte in size. These large data sizes and the high complexity of the underlying neural structures make it very challenging to handle the data at reasonably interactive rates. To provide neuroscientists flexible and interactive tools for their scientific work we introduce SSECRETT and NeuroTrace, two systems that were designed for interactive exploration and analysis of large-scale optical and electron microscope images to reconstruct complex neural circuits of the mammalian nervous system.
Published Version: doi:10.1109/MCG.2011.33
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:5128486

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  • FAS Scholarly Articles [7218]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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