VAST (Volume Annotation and Segmentation Tool): Efficient manual and semi-automatic labeling of large 3D image stacks

Daniel R. Berger, H. Sebastian Seung, Jeff W. Lichtman

Research output: Contribution to journalArticle

24 Scopus citations

Abstract

Recent developments in serial-section electron microscopy allow the efficient generation of very large image data sets but analyzing such data poses challenges for software tools. Here we introduce Volume Annotation and Segmentation Tool (VAST), a freely available utility program for generating and editing annotations and segmentations of large volumetric image (voxel) data sets. It provides a simple yet powerful user interface for real-time exploration and analysis of large data sets even in the Petabyte range.

Original languageEnglish (US)
Article number88
JournalFrontiers in neural circuits
Volume12
DOIs
StatePublished - Oct 16 2018

All Science Journal Classification (ASJC) codes

  • Neuroscience (miscellaneous)
  • Sensory Systems
  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience

Keywords

  • CLEM
  • Connectomics
  • Proofreading
  • Segmentation
  • Serial section electron microscopy
  • TrakEM2
  • Visualization
  • Voxel

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