ArticleNature communications2017
Quantifying protein densities on cell membranes using super-resolution optical fluctuation imaging.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed.
- Combined TIRF and 3D Super-Resolution Microscopy for Nanoscopic Characterization of Adhesion Molecules on Microvilli.Analytical chemistry · 2026Article
- Enhancing ultra-high density single-molecule localization with deep spatiotemporal networks.Biomedical optics express · 2025Article
- In Operando Locally-Resolved Photophysics in Perovskite Solar Cells by Correlation Clustering Imaging.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Subcellular Drug Distribution: Exploring Organelle-Specific Characteristics for Enhanced Therapeutic Efficacy.Pharmaceutics · 2024Review
- Quantitative image analysis of intracellular protein translocation in 3-dimensional tissues for pharmacodynamic studies of immunogenic cell death.Journal of controlled release : official journal of the Controlled Release Society · 2024Article
- Super-resolution microscopy to study membrane nanodomains and transport mechanisms in the plasma membrane.Frontiers in molecular biosciences · 2024Review
- A framework for evaluating the performance of SMLM cluster analysis algorithms.Nature methods · 2023Article
- Pre-organized landscape of T cell surface.Frontiers in immunology · 2023Review
- Approach to map nanotopography of cell surface receptors.Communications biology · 2022Article
- Correlative Light-Environmental Scanning Electron Microscopy of Plasma Membrane Efflux Carriers of Plant Hormone Auxin.Biomolecules · 2021Article
- Rapid statistical discrimination of fluorescence images of T cell receptors on immobilizing surfaces with different coating conditions.Scientific reports · 2021Article
- Three-dimensional single molecule localization close to the coverslip: a comparison of methods exploiting supercritical angle fluorescence.Biomedical optics express · 2021Article
- Single-Molecule Super-Resolution Imaging of T-Cell Plasma Membrane CD4 Redistribution upon HIV-1 Binding.Viruses · 2021Article
- Photonic technologies for liquid biopsies: recent advances and open research challenges.Laser & photonics reviews · 2021Article
- Shedding Structured Light on Molecular Immunity: The Past, Present and Future of Immune Cell Super Resolution Microscopy.Frontiers in immunology · 2021Review
- Spectral cross-cumulants for multicolor super-resolved SOFI imaging.Nature communications · 2020Article
- A Review of Super-Resolution Single-Molecule Localization Microscopy Cluster Analysis and Quantification Methods.Patterns (New York, N.Y.) · 2020Review
- Imaging of the immune system - towards a subcellular and molecular understanding.Journal of cell science · 2020Review
- A tessellation-based colocalization analysis approach for single-molecule localization microscopy.Nature communications · 2019Article
- The phagocytic state of brain myeloid cells after ischemia revealed by superresolution structured illumination microscopy.Journal of neuroinflammation · 2019Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative approaches for characterizing molecular organization of cell membrane molecules under physiological and pathological conditions profit from recently developed super-resolution imaging techniques. Current tools employ statistical algorithms to determine clusters of molecules based on single-molecule localization microscopy (SMLM) data. These approaches are limited by the ability of SMLM techniques to identify and localize molecules in densely populated areas and experimental conditions of sample preparation and image acquisition. We have developed a robust, model-free, quantitative clustering analysis to determine the distribution of membrane molecules that excels in densely labeled areas and is tolerant to various experimental conditions, i.e. multiple-blinking or high blinking rates. The method is based on a TIRF microscope followed by a super-resolution optical fluctuation imaging (SOFI) analysis. The effectiveness and robustness of the method is validated using simulated and experimental data investigating nanoscale distribution of CD4 glycoprotein mutants in the plasma membrane of T cells.
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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.