News & Views | Published:

Computer-aided imaging

Deep learning to predict microscope images

Nature Methodsvolume 15pages868870 (2018) | Download Citation

A type of neural network first described in 2015 can be trained to translate between images of the same field of view acquired by different modalities. Trained networks can use information inherent in grayscale images of cells to predict fluorescent signals.

Access optionsAccess options

Rent or Buy article

Get time limited or full article access on ReadCube.

from$8.99

All prices are NET prices.

References

  1. 1.

    Christiansen, E. M. et al. Cell 173, 792–803.e19 (2018).

  2. 2.

    Ounkomol, C., Seshamani, S., Maleckar, M.M., Collman, F. & Johnson, G.R. Nat. Methods https://doi.org/10.1038/s41592-018-0111-2 (2018).

  3. 3.

    Rosenblatt, F. Psychol. Rev. 65, 386–408 (1958).

  4. 4.

    McCulloch, W. S. & Pitts, W. H. Bull. Math. Biophys. 5, 115–133 (1943).

  5. 5.

    Minsky, M. & Papert, S. Perceptrons: an Introduction to Computational Geometry (MIT Press, Cambridge, 1969).

  6. 6.

    Olazaran, M. Soc. Stud. Sci. 26, 611–659 (1996).

  7. 7.

    Markoff, J. Machines of Loving Grace (Harper Collins, New York, 2015).

  8. 8.

    Krizhevsky, A., Sutskever, I. & Hinton, G.E. in NIPS’12 Proc. 25th Int. Conf. Neural Inf. Process. Syst. Vol. 1, 1097–1105 (Curran Associates, Red Hook, NY, USA, 2012).

  9. 9.

    Long, J., Shelhamer, E. & Darrel, T. in Proc. 2015 IEEE Conf. Comput. Vis. Pattern Recognit. (IEEE, Hoboken, New Jersey, USA, 2015).

  10. 10.

    Ronneberger, O., Fischer, P. & Brox, T. in Int. Conf. Med. Image Comput. Comput.-Assist. Interv. 234–241 (Springer, New York, 2015).

Download references

Acknowledgements

We are grateful to J. Markoff, J. Yosinski, J. Clune, G. Johnson, M. Maleckar, W. Peria, and other colleagues for useful communications and insight, and for support from R21 CA223901 to R.B. and U54 CA132831 (NMSU/FHCRC Partnership for the Advancement of Cancer Research) to R.B. and L.B.

Author information

Affiliations

  1. Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA

    • Roger Brent
  2. Klipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces, NM, USA

    • Laura Boucheron

Authors

  1. Search for Roger Brent in:

  2. Search for Laura Boucheron in:

Competing interests

The authors declare no competing interests.

Corresponding author

Correspondence to Roger Brent.

About this article

Publication history

Published

Issue Date

DOI

https://doi.org/10.1038/s41592-018-0194-9

Further reading

  • In focus in HCB

    • Douglas J. Taatjes
    •  & Jürgen Roth

    Histochemistry and Cell Biology (2019)

Newsletter Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing