Artificial neural networks have been combined with microscopy to visualize the 3D structure of biological cells. This could lead to solutions for difficult imaging problems, such as the multiple scattering of light.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
A weak-labelling and deep learning approach for in-focus object segmentation in 3D widefield microscopy
Scientific Reports Open Access 28 July 2023
-
A comprehensive deep learning method for empirical spectral prediction and its quantitative validation of nano-structured dimers
Scientific Reports Open Access 20 January 2023
-
Light-field microscopy with correlated beams for high-resolution volumetric imaging
Scientific Reports Open Access 07 October 2022
Access options
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Notes
References
Kamilov, U. S. et al. Optica 2, 517–522 (2015).
LeCun, Y., Bengio, Y. & Hinton, G. Nature 521, 436–444 (2015).
Cowley, J. M. & Moodie, A. F. Acta Crystallogr. 10, 609–619 (1957).
Tian, L. & Waller, L. Optica 2, 104–111 (2015).
Van den Broek, W. & Koch, C. T. Phys. Rev. Lett. 109, 245502 (2012).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Waller, L., Tian, L. Machine learning for 3D microscopy. Nature 523, 416–417 (2015). https://doi.org/10.1038/523416a
Published:
Issue Date:
DOI: https://doi.org/10.1038/523416a
This article is cited by
-
A weak-labelling and deep learning approach for in-focus object segmentation in 3D widefield microscopy
Scientific Reports (2023)
-
A comprehensive deep learning method for empirical spectral prediction and its quantitative validation of nano-structured dimers
Scientific Reports (2023)
-
Intelligent metasurfaces: control, communication and computing
eLight (2022)
-
Light-field microscopy with correlated beams for high-resolution volumetric imaging
Scientific Reports (2022)
-
Machine learning for active matter
Nature Machine Intelligence (2020)