ArticleChemical reviews2017
Unraveling the Thousand Word Picture: An Introduction to Super-Resolution Data Analysis.
Article in Chemical reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 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.
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Who cites it
49 citing papers in PubMed.
- Article
- Quantitative Network Classification with CLaSSiNet Reveals Nanoscale Organizational Principles of the Membrane Skeleton.bioRxiv : the preprint server for biology · 2025Article
- Perspective: An outlook on fluorescence tracking.The Journal of chemical physics · 2025Article
- Quantitative Assessment of Biological Dynamics with Aggregate Data.Bulletin of mathematical biology · 2025Article
- Single-Photon Single-Particle Tracking.bioRxiv : the preprint server for biology · 2025Article
- Closing the multichannel gap through computational reconstruction of interaction in super-resolution microscopy.Patterns (New York, N.Y.) · 2025Review
- Quality control maps: Real-time quantitative control of single-molecule localization microscopy data.Biophysical journal · 2025Article
- BNP-Track: a framework for superresolved tracking.Nature methods · 2024Article
- Photophysical image analysis: Unsupervised probabilistic thresholding for images from electron-multiplying charge-coupled devices.PloS one · 2024Article
- Quantitative Super-Resolution Microscopy Reveals the Relationship between CENP-A Stoichiometry and Centromere Physical Size.International journal of molecular sciences · 2023Article
- Article
- Deep-MSIM: Fast Image Reconstruction with Deep Learning in Multifocal Structured Illumination Microscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- BNP-Track: A framework for multi-particle superresolved tracking.bioRxiv : the preprint server for biology · 2023Article
- Simulation-based inference for non-parametric statistical comparison of biomolecule dynamics.PLoS computational biology · 2023Article
- Tuning axial and lateral localization precision in 3D super-resolution microscopy with variable astigmatism.Optics letters · 2022Article
- Computational Proposal for Tracking Multiple Molecules in a Multifocus Confocal Setup.ACS photonics · 2022Article
- Imaging Minimal Bacteria at the Nanoscale: a Reliable and Versatile Process to Perform Single-Molecule Localization Microscopy in Mycoplasmas.Microbiology spectrum · 2022Article
- When Super-Resolution Localization Microscopy Meets Carbon Nanotubes.Nanomaterials (Basel, Switzerland) · 2022Review
- High Resolution Fluorescence Lifetime Maps from Minimal Photon Counts.ACS photonics · 2022Article
- Diffraction-Limited Molecular Cluster Quantification with Bayesian Nonparametrics.Nature computational science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Super-resolution microscopy provides direct insight into fundamental biological processes occurring at length scales smaller than light's diffraction limit. The analysis of data at such scales has brought statistical and machine learning methods into the mainstream. Here we provide a survey of data analysis methods starting from an overview of basic statistical techniques underlying the analysis of super-resolution and, more broadly, imaging data. We subsequently break down the analysis of super-resolution data into four problems: the localization problem, the counting problem, the linking problem, and what we've termed the interpretation problem.
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.