ReviewCurrent opinion in structural biology2014
Quantitative analysis of single-molecule superresolution images.
Review in Current opinion in structural biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed.
- Article
- KCBC - a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley'sJournal of applied statistics · 2024Article
- Identification of nanoparticles as vesicular cargoNanoscale advances · 2023Article
- Single-molecule tracking of PprI inFrontiers in microbiology · 2023Article
- Minimizing Molecular Misidentification in Imaging Low-Abundance Protein Interactions Using Spectroscopic Single-Molecule Localization Microscopy.Analytical chemistry · 2022Article
- Unbiased and robust analysis of co-localization in super-resolution images.Statistical methods in medical research · 2022Article
- A density-based enrichment measure for assessing colocalization in single-molecule localization microscopy data.Nature communications · 2022Article
- Quantitative 3D microscopy highlights altered von Willebrand factor α-granule storage in patients with von Willebrand disease with distinct pathogenic mechanisms.Research and practice in thrombosis and haemostasis · 2021Article
- A pairwise distance distribution correction (DDC) algorithm to eliminate blinking-caused artifacts in SMLM.Nature methods · 2021Article
- PYMEVisualize: an open-source tool for exploring 3D super-resolution data.Nature methods · 2021Article
- Colocalization for super-resolution microscopy via optimal transport.Nature computational science · 2021Article
- Genome-wide alterations of uracil distribution patterns in human DNA upon chemotherapeutic treatments.eLife · 2020Article
- Insights into the Structure, Function, and Dynamics of the Bacterial Cytokinetic FtsZ-Ring.Annual review of biophysics · 2020Review
- A primer on resolving the nanoscale structure of the plasma membrane with light and electron microscopy.The Journal of general physiology · 2019Review
- A tessellation-based colocalization analysis approach for single-molecule localization microscopy.Nature communications · 2019Article
- Super-resolution Imaging of Structure, Molecular Composition, and Stability of Single Oligonucleotide Polyplexes.Nano letters · 2019Article
- N-Linked Glycosylation Regulates CD22 Organization and Function.Frontiers in immunology · 2019Article
- Galectin-9 binds IgM-BCR to regulate B cell signaling.Nature communications · 2018Article
- Article
- Single-molecule fluorescence imaging: Generating insights into molecular interactions in virology.Journal of biosciences · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
This review highlights the quantitative capabilities of single-molecule localization-based superresolution imaging methods. In addition to revealing fine structural details, the molecule coordinate lists generated by these methods provide the critical ability to quantify the number, clustering, and colocalization of molecules with 10-50 nm resolution. Here we describe typical workflows and precautions for quantitative analysis of single-molecule superresolution images. These guidelines include potential pitfalls and essential control experiments, allowing critical assessment and interpretation of superresolution images.
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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.