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.
Ready-made packages are available for Linux, Mac, and Windows.
ilastik comes with an extensive user manual.
View developer documentation and API docs. Report bugs and request features.
Stuart Berg is going to represent ilastik at the Norteast Regional Life Sciences Core Directors meeting and participate in the panel discussion about Image Analysis.
Discuss with other users on our mailing lists or contact the friendly ilastik team directly.