ArticleNature methods2018
Quantitative mapping and minimization of super-resolution optical imaging artifacts.
Article in Nature methods, 2018. 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 169 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
169 citing papers in PubMed.
- SPIFFI enables single-shot super-resolution and multidimensional imaging.Nature methods · 2026Article
- Article
- Super-resolution imaging using fluorescence-lifetime emission-difference.Biomedical optics express · 2026Article
- Single molecule super resolution microscopy reveals formation of Dengue NS2B3 cluster on mitochondrial network and its effect on fragmentation.Npj viruses · 2026Article
- Evaluating the applicability of computational super-resolution techniques for harmonic generation microscopy.Scientific reports · 2026Article
- Physics-informed multi-encoder adaptive optics enables rapid aberration correction for intravital microscopy of deep complex tissue.Nature communications · 2026Article
- Criteria for selecting the Paganin-filter reconstruction parameter in X-ray phase-contrast tomography.Journal of synchrotron radiation · 2026Article
- Accessible STORM Imaging: An Optimized Workflow for Conventional Widefield Epifluorescence/TIRF Setups.Bio-protocol · 2026Article
- Enhancing STED microscopy via fluorescence lifetime unmixing and filtering in two-species SPLIT-STED.Methods in microscopy · 2026Article
- A foundation model for multi-task cross-distribution restoration of fluorescence microscopy images.Nature communications · 2026Article
- Self-adaptive fine-tuning of deep learning super-resolution microscopy for artifact suppression in live-cell imaging.Innovation (Cambridge (Mass.)) · 2026Article
- Expansion and fluctuations-enhanced microscopy for nanoscale molecular profiling of cells and tissues.Nature protocols · 2026Review
- Resolution assessment of super-resolution microscopy imaging: structural and technical dependencies for cell biology.Cytotechnology · 2025Article
- Comparative Evaluation of Combined Denoising and Resolution Enhancement Algorithms for Intravital Two-Photon Imaging of Organs.Biosensors · 2025Article
- NeuroDecon: A Neural Network-Based Method for Three-Dimensional Deconvolution of Fluorescent Microscopic Images.International journal of molecular sciences · 2025Article
- One-step nanoscale expansion microscopy reveals individual protein shapes.Nature biotechnology · 2025Article
- Principal component analysis for three-dimensional structured illumination microscopy (PCA-3DSIM).Light, science & applications · 2025Article
- Adaptive-learning physics-assisted light-field microscopy enables day-long and millisecond-scale super-resolution imaging of 3D subcellular dynamics.Nature communications · 2025Article
- High-fidelity tissue super-resolution imaging achieved with confocalLight, science & applications · 2025Article
- Real-time nanoscale investigation of spore coat assembly in Bacillus subtilis.Communications biology · 2025Article
109 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
Abstract
Super-resolution microscopy depends on steps that can contribute to the formation of image artifacts, leading to misinterpretation of biological information. We present NanoJ-SQUIRREL, an ImageJ-based analytical approach that provides quantitative assessment of super-resolution image quality. By comparing diffraction-limited images and super-resolution equivalents of the same acquisition volume, this approach generates a quantitative map of super-resolution defects and can guide researchers in optimizing imaging parameters.
Indexed as
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.