Ssecrett and neuroTrace: Interactive visualization and analysis tools for large-scale neuroscience data sets

Wonki Jeong, Johanna Beyer, Markus Hadwiger, Rusty Blue, Charles Law, Amelio Vázquez Reina, Rollie Clay Reid, Jeff W M D Lichtman, Hanspeter Pfister

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

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. © 2010 IEEE.
Original languageEnglish (US)
Pages (from-to)58-70
Number of pages13
JournalIEEE Computer Graphics and Applications
Volume30
Issue number3
DOIs
StatePublished - May 6 2010

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

Fingerprint

Dive into the research topics of 'Ssecrett and neuroTrace: Interactive visualization and analysis tools for large-scale neuroscience data sets'. Together they form a unique fingerprint.

Cite this