Skip to main content
Log in

The future of bioimage analysis: a dialog between mind and machine

  • Comment
  • Published:

From Nature Methods

View current issue Submit your manuscript

The field of bioimage analysis is poised for a major transformation, owing to advancements in imaging technologies and artificial intelligence. The emergence of multimodal foundation models — which are akin to large language models (such as ChatGPT) but are capable of comprehending and processing biological images — holds great potential for ushering in a revolutionary era in bioimage analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Li, W., Maekiniemi, A., Sato, H., Osman, C. & Singer, R. H. Nat. Methods 19, 1558–1562 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Yeh, L.-H. et al. Preprint at bioRxiv https://doi.org/10.1101/2020.12.15.422951 (2021).

  3. Tang, P. et al. Light Sci. Appl. 10, 237 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Hobson, C. M., Aaron, J. S., Heddleston, J. M. & Chew, T.-L. Front. Cell Dev. Biol. 9, 706126 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  5. Antonacci, G. et al. Biophys. Rev. 12, 615–624 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Fujiwara, M. et al. Carbon 198, 57–62 (2022).

    Article  CAS  Google Scholar 

  7. Slenders, E. et al. Light Sci. Appl. 10, 31 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Popkin, G. Nature 529, 16–18 (2016).

    Article  CAS  PubMed  Google Scholar 

  9. Pachitariu, M. & Stringer, C. Nat. Methods 19, 1634–1641 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Schmidt, U., Weigert, M., Broaddus, C. & Myers, G. Cell detection with star-convex polygons. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 (eds. Frangi, A. F. et al. 265–273 (Springer International, 2018).

  11. Ditchburn, R. W. & Drysdale, A. E. Vision Res. 13, 2423–2433 (1973).

    Article  CAS  PubMed  Google Scholar 

  12. Brown, T. B. et al. Preprint at https://doi.org/10.48550/arXiv.2005.14165 (2020).

  13. Kobayashi, H., Cheveralls, K. C., Leonetti, M. D. & Royer, L. A. Nat. Methods 19, 995–1003 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Fang, Y. et al. Preprint at https://doi.org/10.48550/arXiv.2211.07636 (2022).

  15. Yuan, L. et al. Preprint at https://doi.org/10.48550/arXiv.2111.11432 (2021).

  16. Radford, A. et al. Preprint at https://doi.org/10.48550/arXiv.2103.00020 (2021).

  17. Caron, M. et al. Emerging properties in self-supervised vision transformers. In 2021 IEEE/CVF International Conference on Computer Vision (ICCV) 9630–9640 (IEEE, 2021).

  18. Wu, C. et al. Preprint at https://doi.org/10.48550/arXiv.2303.04671 (2023).

  19. Tay, Y. et al. Preprint at https://doi.org/10.48550/arXiv.2210.11399 (2022).

  20. Xiao, G. et al. Preprint at https://doi.org/10.48550/arXiv.2211.10438 (2022).

  21. Frantar, E. & Alistarh, D. Preprint at https://doi.org/10.48550/arXiv.2301.00774 (2023).

Download references

Acknowledgements

I thank S. Schmid, K. Balla, J. Bragantini, A. Jacobo, M. Lange and S. Mehta for proofreading and feedback.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Loïc A. Royer.

Ethics declarations

Competing interests

The author declares no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Royer, L.A. The future of bioimage analysis: a dialog between mind and machine. Nat Methods 20, 951–952 (2023). https://doi.org/10.1038/s41592-023-01930-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41592-023-01930-y

  • Springer Nature America, Inc.

Navigation