ilastik the interactive learning and segmentation toolkit

Leverage machine learning algorithms to easily segment, classify, track and count your cells or other experimental data. Most operations are interactive, even on large datasets: you just draw the labels and immediately see the result. No machine learning expertise required.

Pixel Classification

Train using simple brush strokes

Pixel Classification

Semantic segmentation using predicted class probabilities

Object classification

Predict the semantic class of objects

Carving

Extract objects from a 3D volume semi-automatically

Pixel Features

Select from a simple set of predefined image features

Counting

Count densely packed cells

Tracking

Automatic and manual tracking of dividing cells (2D+3D)