News

We have compiled a list of the most useful performance tips from the forum and from our courses. The best part: you can do a lot without having to upgrade any of your hardware!

We are happy to announce the release of version 2.0 of our Fiji plugin. The plugin allows you to conveniently import and export image in HDF5 format, as well as running trained Pixel Classification, Autocontext, Object Classification, Multicut, and Tracking Workflows from within Fiji.

Starting with beta version 1.4.1b5, we are distributing ilastik with native builds for apple silicon computers.

For beta version 1.4.1b1, we have added a new workflow that combines shallow and deep learning approaches. Check out the documentation for the Trainable Domain Adaptation Workflow.

We are happy to announce the release of the new stable ilastik version 1.4.0.

We are happy to announce an exciting new beta release of ilastik.

Use ilastik and wish you could cite it properly? Well, now you can!!!

We are happy to announce a new ilastik release. Detailed release notes can be found here, in short, it’s again much better, go ahead and try :)

We are happy to announce a new ilastik release. Detailed release notes can be found here, in short, it’s much better, go ahead and try! We have new colors, 2D features for 3D data, training data is no longer required in batch processing, and much more.

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.

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!