ArticleNature communications2019
A tessellation-based colocalization analysis approach for single-molecule localization microscopy.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
53 citing papers in PubMed.
- Article
- 3D Expansion-PALM (PhotoActivated Localization Microscopy) Dissects Protein-Protein Interactions Down to the Molecular Scale in Bacteria.Microorganisms · 2026Article
- Diverse intracellular trafficking of insulin analogs by machine learning-based colocalization and diffusion analysis.iScience · 2026Article
- Phase separation instead of binding strength determines target specificities of MAGUKs.Nature chemical biology · 2026Article
- In-depth single molecule localization microscopy using adaptive optics and single objective light-sheet microscopy.Nature communications · 2025Article
- Laminar organization of molecular complexes in a clathrin coat revealed by nanoscale protein colocalization.Structure (London, England : 1993) · 2025Article
- Identifying intermolecular interactions in single-molecule localization microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Closing the multichannel gap through computational reconstruction of interaction in super-resolution microscopy.Patterns (New York, N.Y.) · 2025Review
- Statistical analysis of spatial patterns in tumor microenvironment images.Nature communications · 2025Article
- Behind the scenes of cellular organization: Quantifying spatial phenotypes of puncta structures with statistical models including random fields.Molecular biology of the cell · 2025Article
- Guidelines for naming and studying plasma membrane domains in plants.Nature plants · 2024Review
- PvdL Orchestrates the Assembly of the Nonribosomal Peptide Synthetases Involved in Pyoverdine Biosynthesis inInternational journal of molecular sciences · 2024Article
- Sorting of secretory proteins at theeLife · 2024Article
- Using adjusted local assortativity with Molecular Pixelation unveils colocalization of membrane proteins with immunological significance.Frontiers in immunology · 2024Article
- HIV-1 Gag targeting to the plasma membrane reorganizes sphingomyelin-rich and cholesterol-rich lipid domains.Nature communications · 2023Article
- Multi-Scale Imaging of the Dynamic Organization of Chromatin.International journal of molecular sciences · 2023Review
- Using single molecule imaging to explore intracellular heterogeneity.The international journal of biochemistry & cell biology · 2023Review
- Dimerization of iLID optogenetic proteins observed using 3D single-molecule tracking in live E. coli.Biophysical journal · 2023Article
- TIGIT can inhibit T cell activation via ligation-induced nanoclusters, independent of CD226 co-stimulation.Nature communications · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multicolor single-molecule localization microscopy (λSMLM) is a powerful technique to reveal the relative nanoscale organization and potential colocalization between different molecular species. While several standard analysis methods exist for pixel-based images, λSMLM still lacks such a standard. Moreover, existing methods only work on 2D data and are usually sensitive to the relative molecular organization, a very important parameter to consider in quantitative SMLM. Here, we present an efficient, parameter-free colocalization analysis method for 2D and 3D λSMLM using tessellation analysis. We demonstrate that our method allows for the efficient computation of several popular colocalization estimators directly from molecular coordinates and illustrate its capability to analyze multicolor SMLM data in a robust and efficient manner.
Identifiers
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.