ArticleScientific reports2020
Verifying molecular clusters by 2-color localization microscopy and significance testing.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- Diverse intracellular trafficking of insulin analogs by machine learning-based colocalization and diffusion analysis.iScience · 2026Article
- Closing the multichannel gap through computational reconstruction of interaction in super-resolution microscopy.Patterns (New York, N.Y.) · 2025Review
- A non-toxic equinatoxin-II reveals the dynamics and distribution of sphingomyelin in the cytosolic leaflet of the plasma membrane.Scientific reports · 2024Article
- Membrane topography and the overestimation of protein clustering in single molecule localisation microscopy - identification and correction.Communications biology · 2024Article
- Cholesterol- and actin-centered view of the plasma membrane: updating the Singer-Nicolson fluid mosaic model to commemorate its 50th anniversaryMolecular biology of the cell · 2023Article
- Cluster analysis for localisation-based data sets: dos and don'ts when quantifying protein aggregates.Frontiers in bioinformatics · 2023Review
- Correction of multiple-blinking artifacts in photoactivated localization microscopy.Nature methods · 2022Article
- Understanding immune signaling using advanced imaging techniques.Biochemical Society transactions · 2022Review
- Don't Be Fooled by Randomness: ValidFrontiers in bioinformatics · 2022Review
- An Efficient GUI-Based Clustering Software for Simulation and Bayesian Cluster Analysis of Single-Molecule Localization Microscopy Data.Frontiers in bioinformatics · 2021Article
- A workflow for sizing oligomeric biomolecules based on cryo single molecule localization microscopy.PloS one · 2021Article
- FOCAL3D: A 3-dimensional clustering package for single-molecule localization microscopy.PLoS computational biology · 2020Article
- Unscrambling fluorophore blinking for comprehensive cluster detection via photoactivated localization microscopy.Nature communications · 2020Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While single-molecule localization microscopy (SMLM) offers the invaluable prospect to visualize cellular structures below the diffraction limit of light microscopy, its potential has not yet been fully capitalized due to its inherent susceptibility to blinking artifacts. Particularly, overcounting of single molecule localizations has impeded a reliable and sensitive detection of biomolecular nanoclusters. Here we introduce a 2-Color Localization microscopy And Significance Testing Approach (2-CLASTA), providing a parameter-free statistical framework for the qualitative analysis of two-dimensional SMLM data via significance testing methods. 2-CLASTA yields p-values for the null hypothesis of random biomolecular distributions, independent of the blinking behavior of the chosen fluorescent labels. The method is parameter-free and does not require any additional measurements nor grouping of localizations. We validated the method both by computer simulations as well as experimentally, using protein concatemers as a mimicry of biomolecular clustering. As the new approach is not affected by overcounting artifacts, it is able to detect biomolecular clustering of various shapes at high sensitivity down to a level of dimers.
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Registered trials
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