VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks
Author(s): Berger, Daniel R; Seung, H Sebastian; Lichtman, Jeff W
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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. |
Publication Date: | 16-Oct-2018 |
Citation: | Berger, Daniel R., H. Sebastian Seung, and Jeff W. Lichtman. "VAST (volume annotation and segmentation tool): efficient manual and semi-automatic labeling of large 3D image stacks." Frontiers in Neural Circuits 12 (2018): pp. 88:1-15. doi:10.3389/fncir.2018.00088 |
DOI: | 10.3389/fncir.2018.00088 |
EISSN: | 1662-5110 |
Pages: | 88:1-15 |
Language: | eng |
Type of Material: | Journal Article |
Journal/Proceeding Title: | Frontiers in Neural Circuits |
Version: | Final published version. This is an open access article. |
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