3D particle averaging and detection of macromolecular symmetry in localization microscopy
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.
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2021-05-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-021-22006-5 |
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doaj-d17ad19811dd4f2a9819d5862675ea692021-05-16T11:10:42ZengNature Publishing GroupNature Communications2041-17232021-05-011211910.1038/s41467-021-22006-53D particle averaging and detection of macromolecular symmetry in localization microscopyHamidreza Heydarian0Maarten Joosten1Adrian Przybylski2Florian Schueder3Ralf Jungmann4Ben van Werkhoven5Jan Keller-Findeisen6Jonas Ries7Sjoerd Stallinga8Mark Bates9Bernd Rieger10Department of Imaging Physics, Delft University of TechnologyDepartment of Imaging Physics, Delft University of TechnologyDepartment of NanoBiophotonics, Max Planck Institute for Biophysical ChemistryDepartment of Physics and Center for Nanoscience, Ludwig Maximilian UniversityDepartment of Physics and Center for Nanoscience, Ludwig Maximilian UniversityNetherlands eScience CenterDepartment of NanoBiophotonics, Max Planck Institute for Biophysical ChemistryCell Biology and Biophysics Unit, European Molecular Biology Laboratory (EMBL)Department of Imaging Physics, Delft University of TechnologyDepartment of NanoBiophotonics, Max Planck Institute for Biophysical ChemistryDepartment of Imaging Physics, Delft University of TechnologyAdaptation 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.https://doi.org/10.1038/s41467-021-22006-5 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hamidreza Heydarian Maarten Joosten Adrian Przybylski Florian Schueder Ralf Jungmann Ben van Werkhoven Jan Keller-Findeisen Jonas Ries Sjoerd Stallinga Mark Bates Bernd Rieger |
spellingShingle |
Hamidreza Heydarian Maarten Joosten Adrian Przybylski Florian Schueder Ralf Jungmann Ben van Werkhoven Jan Keller-Findeisen Jonas Ries Sjoerd Stallinga Mark Bates Bernd Rieger 3D particle averaging and detection of macromolecular symmetry in localization microscopy Nature Communications |
author_facet |
Hamidreza Heydarian Maarten Joosten Adrian Przybylski Florian Schueder Ralf Jungmann Ben van Werkhoven Jan Keller-Findeisen Jonas Ries Sjoerd Stallinga Mark Bates Bernd Rieger |
author_sort |
Hamidreza Heydarian |
title |
3D particle averaging and detection of macromolecular symmetry in localization microscopy |
title_short |
3D particle averaging and detection of macromolecular symmetry in localization microscopy |
title_full |
3D particle averaging and detection of macromolecular symmetry in localization microscopy |
title_fullStr |
3D particle averaging and detection of macromolecular symmetry in localization microscopy |
title_full_unstemmed |
3D particle averaging and detection of macromolecular symmetry in localization microscopy |
title_sort |
3d particle averaging and detection of macromolecular symmetry in localization microscopy |
publisher |
Nature Publishing Group |
series |
Nature Communications |
issn |
2041-1723 |
publishDate |
2021-05-01 |
description |
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. |
url |
https://doi.org/10.1038/s41467-021-22006-5 |
work_keys_str_mv |
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