Ssecrett and NeuroTrace: Interactive Visualization and Analysis Tools for Large-Scale Neuroscience Data Sets
Cited 27 times inCited 31 times in
- Ssecrett and NeuroTrace: Interactive Visualization and Analysis Tools for Large-Scale Neuroscience Data Sets
- Jeong, Won-Ki; Beyer, Johanna; Hadwiger, Markus; Blue, Rusty; Law, Charles; Vazquez-Reina, Amelio; Reid, R. Clay; Lichtman, Jeff; Pfister, Hanspeter
- Computer graphics; Connectome; Graphics and multimedia; Graphics hardware; Implicit surface rendering; Neuroscience; Segmentation; Volume rendering
- Issue Date
- IEEE COMPUTER SOC
- IEEE COMPUTER GRAPHICS AND APPLICATIONS, v.30, no.3, pp.58 - 70
- 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.
- ; Go to Link
- Appears in Collections:
- EE_Journal Papers
- Files in This Item:
can give you direct access to the published full text of this article. (UNISTARs only)
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.