Next workshop! The next ilastik workshop will take place on December 4th, 2017 (9:30-15:00), in Heidelberg, in the Mathematikon building A, 2nd Floor, Room 103: PC Pool. Sign up at this google form and preview the workshop program if you'd like to attend. As usual, we will include a session to work on your own data and a "show and tell" hour. The workshop is organized within the ilastik team activities in the SFB1129, but we'd be happy to also admit outside people for the remaining places.

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.


Install ilastik

Ready-made packages are available for Linux, Mac, and Windows.

Read documentation

ilastik comes with an extensive user manual.

Contribute

View developer documentation and API docs. Report bugs and request features.


New beta release 1.3 is now available!

We are happy to announce a new ilastik release, based on Python3 and Qt5! Detailed release notes can be found here, in short, it's much better, go ahead and try! The GUI is faster, the tracking does not need CPLEX, we have new export formats, and much more.

New video tutorial

We started doing video tutorials again: Pixel Classification. If you like it, get back to us and we'll do one on your favorite topic!


Get in touch

Discuss with other users on our mailing lists or contact the friendly ilastik team directly.