- Description
-
ilastik is a simple, user-friendly tool for interactive image classification,
segmentation and analysis. It is built as a modular software framework, which
currently has workflows for automated (supervised) pixel- and object-level classification,
automated and semi-automated object tracking, semi-automated segmentation
and object counting without detection.
Most analysis operations are performed lazily, which enables targeted interactive
processing of data subvolumes, followed by complete volume analysis in offline batch mode. Using it
requires no experience in image processing.
- Developers
- ilastik is developed by the
ilastik team in Anna Kreshuk's lab at the European Molecular Biology Laboratory, with partial financial support by the
DFG, the Human Brain Project and
SFB 1129. Their financial support does not imply
endorsement of the software.
- License
- ilastik is distributed under GNU General Public License
as published by the Free Software Foundation; either version 2 of the
License, or any later version, with a special
exception to allow extensions of ilastik not covered under
the GNU General Public License. See the license
page for details.
- How to cite
- The current ilastik version (1.0 and newer) is described in this Nature Methods Perspective:
ilastik: interactive machine learning for (bio)image analysis
Stuart Berg, Dominik Kutra, Thorben Kroeger, Christoph N. Straehle, Bernhard X. Kausler,
Carsten Haubold, Martin Schiegg, Janez Ales, Thorsten Beier, Markus Rudy, Kemal Eren,
Jaime I Cervantes, Buote Xu, Fynn Beuttenmueller, Adrian Wolny, Chong Zhang, Ullrich Koethe,
Fred A. Hamprecht & Anna Kreshuk
in: Nature Methods, (2019)
Link at publisher,
BibTex file
- Other publications
- A list of publications, which use or review ilastik, can be found here.
- Contact
- Our contact details can be found here.
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