ArticlePloS one2015
Quantitative localization microscopy: effects of photophysics and labeling stoichiometry.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 55 citations in OpenAlex.
- Detecting continuous structural heterogeneity in single molecule localization microscopy data with a point cloud variational auto-encoder.Scientific reports · 2025Article
- Polymer Nano-Carrier-Mediated Gene Delivery: Visualizing and Quantifying DNA Encapsulation Using dSTORM.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Phase-separated ribosome-nascent chain complexes in genotoxic stress response.RNA (New York, N.Y.) · 2023Article
- Single-molecule counting applied to the study of GPCR oligomerization.Biophysical journal · 2022Review
- Estimating the localization spread function of static single-molecule localization microscopy images.Biophysical journal · 2022Article
- Quantitative comparison of spinning disk geometries for PAINT based super-resolution microscopy.Biomedical optics express · 2022Article
- Estimating the dynamic range of quantitative single-molecule localization microscopy.Biophysical journal · 2021Article
- Seeing beyond the limit: A guide to choosing the right super-resolution microscopy technique.The Journal of biological chemistry · 2021Review
- Analysis of Ionizing Radiation Induced DNA Damage by Superresolution dSTORM Microscopy.Pathology oncology research : POR · 2021Article
- An expectation-maximization approach to quantifying protein stoichiometry with single-molecule imaging.Bioinformatics advances · 2021Article
- Article
- Unscrambling fluorophore blinking for comprehensive cluster detection via photoactivated localization microscopy.Nature communications · 2020Article
- Nanobody-Based Probes for Subcellular Protein Identification and Visualization.Frontiers in cellular neuroscience · 2020Review
- A HIDDEN MARKOV MODEL APPROACH TO CHARACTERIZING THE PHOTO-SWITCHING BEHAVIOR OF FLUOROPHORES.The annals of applied statistics · 2019Article
- Super-resolution modularity analysis shows polyhedral caveolin-1 oligomers combine to form scaffolds and caveolae.Scientific reports · 2019Article
- A stochastic view on surface inhomogeneity of nanoparticles.Nature communications · 2019Article
- A Platform To Enhance Quantitative Single Molecule Localization Microscopy.Journal of the American Chemical Society · 2018Article
- Template-free 2D particle fusion in localization microscopy.Nature methods · 2018Article
- Super Resolution Network Analysis Defines the Molecular Architecture of Caveolae and Caveolin-1 Scaffolds.Scientific reports · 2018Article
- The Effect of Fluorophore Conjugation on Antibody Affinity and the Photophysical Properties of Dyes.Biophysical journal · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
Abstract
Quantification in localization microscopy with reversibly switchable fluorophores is severely hampered by the unknown number of switching cycles a fluorophore undergoes and the unknown stoichiometry of fluorophores on a marker such as an antibody. We overcome this problem by measuring the average number of localizations per fluorophore, or generally per fluorescently labeled site from the build-up of spatial image correlation during acquisition. To this end we employ a model for the interplay between the statistics of activation, bleaching, and labeling stoichiometry. We validated our method using single fluorophore labeled DNA oligomers and multiple-labeled neutravidin tetramers where we find a counting error of less than 17% without any calibration of transition rates. Furthermore, we demonstrated our quantification method on nanobody- and antibody-labeled biological specimens.
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What OpenQuestion holds
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.