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CATMAID: collaborative annotation toolkit for massive amounts of image data

Saalfeld, Stephan ; Cardona, Albert ; Hartenstein, Volker ; Tomančák, Pavel

In: Bioinformatics, 2009, vol. 25, no. 15, p. 1984-1986

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    Titre
    • CATMAID: collaborative annotation toolkit for massive amounts of image data
    Auteur
    • Saalfeld, Stephan. Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108, Dresden, Germany , Institute of Neuroinformatics, Uni/ETH Zürich, Winterthurerstrasse 190, Zürich, Switzerland and Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, USA
    • Cardona, Albert. Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108, Dresden, Germany , Institute of Neuroinformatics, Uni/ETH Zürich, Winterthurerstrasse 190, Zürich, Switzerland and Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, USA
    • Hartenstein, Volker. Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108, Dresden, Germany , Institute of Neuroinformatics, Uni/ETH Zürich, Winterthurerstrasse 190, Zürich, Switzerland and Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, USA
    • Tomančák, Pavel. Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108, Dresden, Germany , Institute of Neuroinformatics, Uni/ETH Zürich, Winterthurerstrasse 190, Zürich, Switzerland and Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, USA
    Type de document
    • Postprint
    Identifiant OAI-PMH
    • oai:doc.rero.ch:290770
    Summary
    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