ArticleMethods and applications in fluorescence2015
Resolution improvement by 3D particle averaging in localization microscopy.
Article in Methods and applications in fluorescence, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 65 citations in OpenAlex.
- Towards improved particle reconstruction for single-molecule localization microscopy using geometric deep learning.Bioinformatics advances · 2026Article
- SuperResNET: Model-Free Single-Molecule Network Analysis Software Achieves Molecular Resolution of Nup96.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2025Article
- ECLiPSE: a versatile classification technique for structural and morphological analysis of 2D and 3D single-molecule localization microscopy data.Nature methods · 2024Article
- Detecting continuous structural heterogeneity in single-molecule localization microscopy data.Scientific reports · 2023Article
- Particle fusion of super-resolution data reveals the unit structure of Nup96 in Nuclear Pore Complex.Scientific reports · 2023Article
- Quantitative Single-Molecule Localization Microscopy.Annual review of biophysics · 2023Review
- Bayesian inference of multi-point macromolecular architecture mixtures at nanometre resolution.PLoS computational biology · 2022Article
- ArtiaX: An electron tomography toolbox for the interactive handling of sub-tomograms in UCSF ChimeraX.Protein science : a publication of the Protein Society · 2022Article
- Joint registration of multiple point clouds for fast particle fusion in localization microscopy.Bioinformatics (Oxford, England) · 2022Article
- Determinants of synapse diversity revealed by super-resolution quantal transmission and active zone imaging.Nature communications · 2022Article
- Organelle Interaction and Drug Discovery: Towards Correlative Nanoscopy and Molecular Dynamics Simulation.Frontiers in pharmacology · 2022Review
- Detecting structural heterogeneity in single-molecule localization microscopy data.Nature communications · 2021Article
- 3D particle averaging and detection of macromolecular symmetry in localization microscopy.Nature communications · 2021Article
- A workflow for sizing oligomeric biomolecules based on cryo single molecule localization microscopy.PloS one · 2021Article
- Single-molecule localization microscopy.Nature reviews. Methods primers · 2021Article
- Template-free 2D particle fusion in localization microscopy.Nature methods · 2018Article
- Single-particle analysis for fluorescence nanoscopy.Nature methods · 2018Article
- Fluorescence Polarization Control for On-Off Switching of Single Molecules at Cryogenic Temperatures.Small methods · 2018Article
- Combined expansion microscopy with structured illumination microscopy for analyzing protein complexes.Nature protocols · 2018Article
- Correlation analysis framework for localization-based superresolution microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
Inspired by recent developments in localization microscopy that applied averaging of identical particles in 2D for increasing the resolution even further, we discuss considerations for alignment (registration) methods for particles in general and for 3D in particular. We detail that traditional techniques for particle registration from cryo electron microscopy based on cross-correlation are not suitable, as the underlying image formation process is fundamentally different. We argue that only localizations, i.e. a set of coordinates with associated uncertainties, are recorded and not a continuous intensity distribution. We present a method that owes to this fact and that is inspired by the field of statistical pattern recognition. In particular we suggest to use an adapted version of the Bhattacharyya distance as a merit function for registration. We evaluate the method in simulations and demonstrate it on three-dimensional super-resolution data of Alexa 647 labelled to the Nup133 protein in the nuclear pore complex of Hela cells. From the simulations we find suggestions that for successful registration the localization uncertainty must be smaller than the distance between labeling sites on a particle. These suggestions are supported by theoretical considerations concerning the attainable resolution in localization microscopy and its scaling behavior as a function of labeling density and localization precision.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.