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.
Discuss with other users on our mailing lists or contact the friendly ilastik team directly.
A result derived using ilastik's pixel classification has been chosen as front cover of the September 25 2015 issue of the Journal of Biological Chemistry.
It was used in this issue's article: Proteomic Analysis of GLUT4 Storage Vesicles Reveals Tumor Suppressor Candidate 5 (TUSC5) as a Novel Regulator of Insulin Action in Adipocytes by Fazakerley et al.