The introduction of a two-step deconvolution workflow maximizes the detection of fluorescence in fluctuation-based super-resolution imaging, enabling a square millimetre field of view to be captured in as little as ten minutes.
This is a preview of subscription content, log in via an institution to check access.
References
Lelek, M. et al. Nat. Rev. Methods Primers 1, 39 (2021).
Dertinger, T. et al. Proc. Natl Acad. Sci. 106, 22287–22292 (2009).
Sheppard, C. J. R. Phil. Trans. R. Soc. A. 379, 20200154 (2021).
Geissbuehler, S. et al. Opt. Nano. 1, 4 (2012).
Zhao, W. et al. Nat Photon. https://doi.org/10.1038/s41566-023-01234-9 (2023).
Bertero, M. & Boccacci, P. In From Cells to Proteins: Imaging Nature across Dimensions (eds Evangelista, V. et al.) 349–370 (Springer, 2005).
Gustafsson, N. et al. Nat. Commun. 7, 12471 (2016).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The author declares no competing interests.
Rights and permissions
About this article
Cite this article
Baddeley, D. Deconvolution enhances fluctuation detection. Nat. Photon. 17, 741–742 (2023). https://doi.org/10.1038/s41566-023-01275-0
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41566-023-01275-0
- Springer Nature Limited