Liftoff.bio illustration — cat imaging

StarDist

Star-convex object detection for nuclei segmentation

StarDist represents objects as star-convex polygons, making it especially strong at separating touching nuclei in dense images. It ships pretrained models and runs in Python, Fiji, QuPath and napari.

Highlights

  • Accurate instance segmentation of crowded nuclei in 2D and 3D.
  • Pretrained models for fluorescence and H&E images.
  • Front-ends for napari, Fiji and QuPath.

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