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Biology & Biomedical Research

StarDist

Open-source deep-learning software for instance segmentation of approximately star-convex objects in two- and three-dimensional microscopy images.

Last verified

RESEARCH USE

Where StarDist fits

StarDist is most relevant for segmenting nuclei and other suitable objects in microscopy images. It should be treated as one component of a research workflow rather than as a substitute for reading source material, checking methods, or validating scientific conclusions.

What to evaluate before use

  • Check whether its Python, Jupyter, ImageJ/Fiji workflow fits your existing research environment and export requirements.
  • The recorded access model is open source; limits, institutional terms, and commercial-use conditions may change.
  • Open-source code is available, but code, model weights, hosted services, and data may have different licenses. Review the relevant terms separately.

Verification note

This entry summarizes the tool's role without assessing scientific accuracy or endorsing its outputs. Features and terms can change; consult the official source before adopting it for consequential work.

microscopyinstance segmentation

Last verified: 2026-08-30
Source: official documentation ↗