English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

CATMAID: Collaborative Annotation Toolkit for Massive Amounts of Image Data

MPS-Authors
/persons/resource/persons219601

Saalfeld,  Stephan
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

/persons/resource/persons219225

Hartenstein,  Volker
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

/persons/resource/persons219742

Tomancak,  Pavel
Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Saalfeld, S., Cardona, A., Hartenstein, V., & Tomancak, P. (2009). CATMAID: Collaborative Annotation Toolkit for Massive Amounts of Image Data. Bioinformatics, 25(15), 1984-1986.


Cite as: https://hdl.handle.net/21.11116/0000-0001-0CDA-D
Abstract
SUMMARY: High-resolution, three dimensional (3D) imaging of large biological specimens generates massive image data sets 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 data sets 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.