VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks

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...

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Detalles Bibliográficos
Autores principales: Berger, Daniel R., Seung, H. Sebastian, Lichtman, Jeff W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198149/
https://www.ncbi.nlm.nih.gov/pubmed/30386216
http://dx.doi.org/10.3389/fncir.2018.00088
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author Berger, Daniel R.
Seung, H. Sebastian
Lichtman, Jeff W.
author_facet Berger, Daniel R.
Seung, H. Sebastian
Lichtman, Jeff W.
author_sort Berger, Daniel R.
collection PubMed
description 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.
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spelling pubmed-61981492018-11-01 VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks Berger, Daniel R. Seung, H. Sebastian Lichtman, Jeff W. Front Neural Circuits Neuroscience 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. Frontiers Media S.A. 2018-10-16 /pmc/articles/PMC6198149/ /pubmed/30386216 http://dx.doi.org/10.3389/fncir.2018.00088 Text en Copyright © 2018 Berger, Seung and Lichtman. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Berger, Daniel R.
Seung, H. Sebastian
Lichtman, Jeff W.
VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks
title VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks
title_full VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks
title_fullStr VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks
title_full_unstemmed VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks
title_short VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks
title_sort vast (volume annotation and segmentation tool): efficient manual and semi-automatic labeling of large 3d image stacks
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198149/
https://www.ncbi.nlm.nih.gov/pubmed/30386216
http://dx.doi.org/10.3389/fncir.2018.00088
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AT lichtmanjeffw vastvolumeannotationandsegmentationtoolefficientmanualandsemiautomaticlabelingoflarge3dimagestacks

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