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B.J.C. van Werkhoven
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Publisher Correction
3D particle averaging and detection of macromolecular symmetry in localization microscopy (Nature Communications, (2021), 12, 1, (2847), 10.1038/s41467-021-22006-5)
Journal article
(2021)
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Hamidreza Heydarian, Maarten Joosten, Bernd Rieger, Adrian Przybylski, Florian Schueder, Ralf Jungmann, Ben van Werkhoven, Jan Keller-Findeisen, Jonas Ries, Sjoerd Stallinga, Mark Bates
The original HTML version of this Article was updated shortly after publication because the previous HTML version linked to an incorrect Supplementary Information file.
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The original HTML version of this Article was updated shortly after publication because the previous HTML version linked to an incorrect Supplementary Information file.
Journal article
(2021)
-
H. Heydarian, M.J. Joosten, A. Przybylski, Florian Schueder, Ralf Jungmann, B.J.C. van Werkhoven, J. Keller-Fiendeisen, B. Rieger, S. Stallinga, More authors...
Single molecule localization microscopy offers in principle resolution down to the molecular level, but in practice this is limited primarily by incomplete fluorescent labeling of the structure. This missing information can be completed by merging information from many structurally identical particles. In this work, we present an approach for 3D single particle analysis in localization microscopy which hugely increases signal-to-noise ratio and resolution and enables determining the symmetry groups of macromolecular complexes. Our method does not require a structural template, and handles anisotropic localization uncertainties. We demonstrate 3D reconstructions of DNA-origami tetrahedrons, Nup96 and Nup107 subcomplexes of the nuclear pore complex acquired using multiple single molecule localization microscopy techniques, with their structural symmetry deducted from the data.
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Single molecule localization microscopy offers in principle resolution down to the molecular level, but in practice this is limited primarily by incomplete fluorescent labeling of the structure. This missing information can be completed by merging information from many structurally identical particles. In this work, we present an approach for 3D single particle analysis in localization microscopy which hugely increases signal-to-noise ratio and resolution and enables determining the symmetry groups of macromolecular complexes. Our method does not require a structural template, and handles anisotropic localization uncertainties. We demonstrate 3D reconstructions of DNA-origami tetrahedrons, Nup96 and Nup107 subcomplexes of the nuclear pore complex acquired using multiple single molecule localization microscopy techniques, with their structural symmetry deducted from the data.