StarDist is a deep learning based cell/nuclei detection method for microscopy images. StarDist uses round star-convex shapes as detection primitives and is thus well suited for noisy images with many crowded/touching objects that can be well approximated by round shapes such as nuclei.

For the full documentation and more detailed examples please have a look at the official StarDist project page or the NEUBIAS Academy webinar.

How to use StarDist in Python How to use StarDist in Fiji How to cite StarDist

Source code

StarDist in Python StarDist in Java / Fiji