Ssecrett and NeuroTrace: Interactive Visualization and Analysis Tools for Large-Scale Neuroscience Data Sets

Authors:
Won-Ki Jeong;Johanna Beyer;Markus Hadwiger;Rusty Blue;Charles Law;Amelio Vázquez-Reina;R. Clay Reid;Jeff Lichtman;Hanspeter Pfister
Affiliations:
Harvard University;King Abdullah University of Science and Technology;King Abdullah University of Science and Technology;Kitware;Kitware;Tufts University;Harvard Medical School;Harvard University;Harvard University
Venue:
IEEE Computer Graphics and Applications
Year:
2010

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Abstract

Recent advances in optical and electron microscopy let scientists acquire extremely high-resolution images for neuroscience research. Data sets imaged with modern electron microscopes can range between tens of terabytes to about one petabyte. 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, interactive tools, the authors introduce Ssecrett and NeuroTrace, two tools they designed for interactive exploration and analysis of large-scale optical- and electron-microscopy images to reconstruct complex neural circuits of the mammalian nervous system.