ArticleScientific reports2017
3D Bayesian cluster analysis of super-resolution data reveals LAT recruitment to the T cell synapse.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 41 citations in OpenAlex.
- Super-resolution microscopy to study membrane nanodomains and transport mechanisms in the plasma membrane.Frontiers in molecular biosciences · 2024Review
- Quantitative Single-Molecule Localization Microscopy.Annual review of biophysics · 2023Review
- Introducing Diinamic, a flexible and robust method for clustering analysis in single-molecule localization microscopy.Biological imaging · 2023Article
- A Tribute to Professor Katharina Gaus.Frontiers in bioinformatics · 2021Article
- An Efficient GUI-Based Clustering Software for Simulation and Bayesian Cluster Analysis of Single-Molecule Localization Microscopy Data.Frontiers in bioinformatics · 2021Article
- FOCAL3D: A 3-dimensional clustering package for single-molecule localization microscopy.PLoS computational biology · 2020Article
- vLUME: 3D virtual reality for single-molecule localization microscopy.Nature methods · 2020Article
- A Review of Super-Resolution Single-Molecule Localization Microscopy Cluster Analysis and Quantification Methods.Patterns (New York, N.Y.) · 2020Review
- Topological data analysis quantifies biological nano-structure from single molecule localization microscopy.Bioinformatics (Oxford, England) · 2020Article
- Article
- Differential nanoscale organisation of LFA-1 modulates T-cell migration.Journal of cell science · 2019Article
- A stochastic view on surface inhomogeneity of nanoparticles.Nature communications · 2019Article
- Learning the sequence of influenza A genome assembly during viral replication using point process models and fluorescence in situ hybridization.PLoS computational biology · 2019Article
- Dynamic pattern generation in cell membranes: Current insights into membrane organization.Biochimica et biophysica acta. Biomembranes · 2018Review
- Quantitative fibre analysis of single-molecule localization microscopy data.Scientific reports · 2018Article
- Super Resolution Network Analysis Defines the Molecular Architecture of Caveolae and Caveolin-1 Scaffolds.Scientific reports · 2018Article
- Imaging Polarized Secretory Traffic at the Immune Synapse in Living T Lymphocytes.Frontiers in immunology · 2018Review
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Authors and funding
13 authors at 4 institutions in 2 countries.
Funding
Abstract
Single-molecule localisation microscopy (SMLM) allows the localisation of fluorophores with a precision of 10-30 nm, revealing the cell's nanoscale architecture at the molecular level. Recently, SMLM has been extended to 3D, providing a unique insight into cellular machinery. Although cluster analysis techniques have been developed for 2D SMLM data sets, few have been applied to 3D. This lack of quantification tools can be explained by the relative novelty of imaging techniques such as interferometric photo-activated localisation microscopy (iPALM). Also, existing methods that could be extended to 3D SMLM are usually subject to user defined analysis parameters, which remains a major drawback. Here, we present a new open source cluster analysis method for 3D SMLM data, free of user definable parameters, relying on a model-based Bayesian approach which takes full account of the individual localisation precisions in all three dimensions. The accuracy and reliability of the method is validated using simulated data sets. This tool is then deployed on novel experimental data as a proof of concept, illustrating the recruitment of LAT to the T-cell immunological synapse in data acquired by iPALM providing ~10 nm isotropic resolution.
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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.