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carsen-stringer authored Feb 12, 2025
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Expand Up @@ -42,9 +42,14 @@ Pachitariu, M. & Stringer, C. (2022). Cellpose 2.0: how to train your own model.
**If you use the new image restoration models or cyto3, please also cite the Cellpose3 [paper](https://www.nature.com/articles/s41592-025-02595-5):**
Stringer, C. & Pachitariu, M. (2025). Cellpose3: one-click image restoration for improved segmentation. <em>Nature Methods</em>.

### [v3.1.1](https://github.com/MouseLand/cellpose/releases/tag/v3.1.1) update (Feb 2025)
### v3.1+ update (Feb 2025)

`pip install cellpose --upgrade` for faster mask creation in 2D and 3D ([benchmarks](https://cellpose.readthedocs.io/en/latest/benchmark.html)), and support for big larger-than-memory data by [@GFleishman](https://github.com/GFleishman), usage info [here](https://cellpose.readthedocs.io/en/latest/distributed.html). Also, better support for Mac Silicon chips (MPS) included.
`pip install cellpose --upgrade` to get all the new features and bug fixes!

* support for **big data** contributed by [@GFleishman](https://github.com/GFleishman), usage info [here](https://cellpose.readthedocs.io/en/latest/distributed.html)
* new options to improve 3D segmentation like `flow3D_smooth` and `pretrained_model_ortho`, more info [here](https://cellpose.readthedocs.io/en/latest/do3d.html#segmentation-settings)
* GPU-accelerated mask creation in 2D and 3D ([benchmarks](https://cellpose.readthedocs.io/en/latest/benchmark.html))
* better support for Mac Silicon chips (MPS), although new mask creation code not supported by Mac yet

### :star2: v3 (Feb 2024) :star2:

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