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.
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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).
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Baddeley, D. Deconvolution enhances fluctuation detection. Nat. Photon. 17, 741–742 (2023). https://doi.org/10.1038/s41566-023-01275-0
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DOI: https://doi.org/10.1038/s41566-023-01275-0
