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Comment
. 2022 Dec;19(12):1536-1537.
doi: 10.1038/s41592-022-01664-3.

A cellular segmentation algorithm with fast customization

No authors listed
Comment

A cellular segmentation algorithm with fast customization

No authors listed. Nat Methods. 2022 Dec.
No abstract available

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  • Cellpose 2.0: how to train your own model.
    Pachitariu M, Stringer C. Pachitariu M, et al. Nat Methods. 2022 Dec;19(12):1634-1641. doi: 10.1038/s41592-022-01663-4. Epub 2022 Nov 7. Nat Methods. 2022. PMID: 36344832 Free PMC article.

References

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    1. Stringer, C., Wang, T., Michaelos, M. & Pachitariu, M. Cellpose: a generalist algorithm for cellular segmentation. Nat. Methods 18, 100–106 (2021). This paper introduces the original Cellpose segmentation model and cellular dataset. - DOI - PubMed
    1. Greenwald, N. F. et al. Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning. Nat. Biotechnol. 40, 555–565 (2021). This paper introduces the Mesmer segmentation model and the TissueNet dataset, which contains over 1 million manually labeled cells from different tissues and fluorescent imaging platforms. - DOI - PubMed - PMC
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