3D particle averaging and detection of macromolecular symmetry in localization microscopy
| Autor: | Florian Schueder, Jan Keller-Findeisen, Ralf Jungmann, Hamidreza Heydarian, Ben van Werkhoven, Maarten Joosten, Bernd Rieger, Mark Bates, Sjoerd Stallinga, Jonas Ries, Adrian Przybylski |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Materials science Macromolecular Substances Science Molecular Conformation General Physics and Astronomy Single particle analysis Signal-To-Noise Ratio Symmetry group Article General Biochemistry Genetics and Molecular Biology Cell Line 03 medical and health sciences Imaging Three-Dimensional 0302 clinical medicine Microscopy Humans Computer Simulation Super-resolution microscopy Structure determination Multidisciplinary Resolution (electron density) DNA General Chemistry Publisher Correction Single Molecule Imaging Symmetry (physics) Nuclear Pore Complex Proteins 030104 developmental biology OA-Fund TU Delft Nuclear Pore Tetrahedron Particle Biological system Algorithms 030217 neurology & neurosurgery Identical particles |
| Zdroj: | Nature Communications, 12(1) Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021) Nature Communications |
| ISSN: | 2041-1723 |
| Popis: | 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. Adaptation of current algorithms to 3D SMLM data is currently problematic. Here the authors report a method that increases the signal-to-noise ratio and resolution of 3D single particle analysis in localization microscopy and enables determination of the symmetry groups of macromolecular complexes. |
| Databáze: | OpenAIRE |
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