CATMAID: collaborative annotation toolkit for massive amounts of image data

Summary: High-resolution, three-dimensional (3D) imaging of large biological specimens generates massive image datasets that are difficult to navigate, annotate and share effectively. Inspired by online mapping applications like GoogleMaps™, we developed a decentralized web interface that allows sea...

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Detalles Bibliográficos
Autores principales: Saalfeld, Stephan, Cardona, Albert, Hartenstein, Volker, Tomančák, Pavel
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2712332/
https://www.ncbi.nlm.nih.gov/pubmed/19376822
http://dx.doi.org/10.1093/bioinformatics/btp266
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author Saalfeld, Stephan
Cardona, Albert
Hartenstein, Volker
Tomančák, Pavel
author_facet Saalfeld, Stephan
Cardona, Albert
Hartenstein, Volker
Tomančák, Pavel
author_sort Saalfeld, Stephan
collection PubMed
description Summary: High-resolution, three-dimensional (3D) imaging of large biological specimens generates massive image datasets that are difficult to navigate, annotate and share effectively. Inspired by online mapping applications like GoogleMaps™, we developed a decentralized web interface that allows seamless navigation of arbitrarily large image stacks. Our interface provides means for online, collaborative annotation of the biological image data and seamless sharing of regions of interest by bookmarking. The CATMAID interface enables synchronized navigation through multiple registered datasets even at vastly different scales such as in comparisons between optical and electron microscopy. Availability: http://fly.mpi-cbg.de/catmaid Contact: tomancak@mpi-cbg.de
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spelling pubmed-27123322009-07-21 CATMAID: collaborative annotation toolkit for massive amounts of image data Saalfeld, Stephan Cardona, Albert Hartenstein, Volker Tomančák, Pavel Bioinformatics Applications Note Summary: High-resolution, three-dimensional (3D) imaging of large biological specimens generates massive image datasets that are difficult to navigate, annotate and share effectively. Inspired by online mapping applications like GoogleMaps™, we developed a decentralized web interface that allows seamless navigation of arbitrarily large image stacks. Our interface provides means for online, collaborative annotation of the biological image data and seamless sharing of regions of interest by bookmarking. The CATMAID interface enables synchronized navigation through multiple registered datasets even at vastly different scales such as in comparisons between optical and electron microscopy. Availability: http://fly.mpi-cbg.de/catmaid Contact: tomancak@mpi-cbg.de Oxford University Press 2009-08-01 2009-04-17 /pmc/articles/PMC2712332/ /pubmed/19376822 http://dx.doi.org/10.1093/bioinformatics/btp266 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Saalfeld, Stephan
Cardona, Albert
Hartenstein, Volker
Tomančák, Pavel
CATMAID: collaborative annotation toolkit for massive amounts of image data
title CATMAID: collaborative annotation toolkit for massive amounts of image data
title_full CATMAID: collaborative annotation toolkit for massive amounts of image data
title_fullStr CATMAID: collaborative annotation toolkit for massive amounts of image data
title_full_unstemmed CATMAID: collaborative annotation toolkit for massive amounts of image data
title_short CATMAID: collaborative annotation toolkit for massive amounts of image data
title_sort catmaid: collaborative annotation toolkit for massive amounts of image data
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2712332/
https://www.ncbi.nlm.nih.gov/pubmed/19376822
http://dx.doi.org/10.1093/bioinformatics/btp266
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AT hartensteinvolker catmaidcollaborativeannotationtoolkitformassiveamountsofimagedata
AT tomancakpavel catmaidcollaborativeannotationtoolkitformassiveamountsofimagedata

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