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Bioinformatics Advance Access originally published online on April 17, 2009
Bioinformatics 2009 25(15):1984-1986; doi:10.1093/bioinformatics/btp266
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© 2009 The Author(s)
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.

CATMAID: collaborative annotation toolkit for massive amounts of image data

Stephan Saalfeld 1, Albert Cardona 2, Volker Hartenstein 3 and Pavel Tomancák 1,*

1 Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108, Dresden, Germany , 2 Institute of Neuroinformatics, Uni/ETH Zürich, Winterthurerstrasse 190, Zürich, Switzerland and 3 Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, USA

* To whom correspondence should be addressed.


  Abstract

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 GoogleMapsTM, 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{at}mpi-cbg.de

Associate Editor: Limsoon Wong

Received on February 13, 2009; revised on April 15, 2009; accepted on April 15, 2009

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