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marius10p authored Mar 28, 2024
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**If you use Cellpose 1, 2 or 3, please cite the Cellpose 1.0 [paper](https://t.co/kBMXmPp3Yn?amp=1):**
Stringer, C., Wang, T., Michaelos, M., & Pachitariu, M. (2021). Cellpose: a generalist algorithm for cellular segmentation. <em>Nature methods, 18</em>(1), 100-106.

**If you use the new human-in-the-loop training, please also cite the Cellpose 2.0 [paper](https://www.nature.com/articles/s41592-022-01663-4):**
**If you use the human-in-the-loop training, please also cite the Cellpose 2.0 [paper](https://www.nature.com/articles/s41592-022-01663-4):**
Pachitariu, M. & Stringer, C. (2022). Cellpose 2.0: how to train your own model. <em>Nature methods</em>, 1-8.

**If you use the restoration models, please also cite the Cellpose3 [paper](https://www.biorxiv.org/content/10.1101/2024.02.10.579780v1):**
**If you use the new image restoration models or cyto3, please also cite the Cellpose3 [paper](https://www.biorxiv.org/content/10.1101/2024.02.10.579780v1):**
Stringer, C. & Pachitariu, M. (2024). Cellpose3: one-click image restoration for improved segmentation. <em>bioRxiv</em>.

:triangular_flag_on_post: All models in Cellpose, except `yeast_BF_cp3`, `yeast_PhC_cp3`, and `deepbacs_cp3`, are trained on some amount of data that is **CC-BY-NC**. The Cellpose annotated dataset is also CC-BY-NC.
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