ArticleNature methods2019
Parameter-free image resolution estimation based on decorrelation analysis.
Article in Nature methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers.
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Who cites it
154 citing papers in PubMed.
- SPIFFI enables single-shot super-resolution and multidimensional imaging.Nature methods · 2026Article
- Super-resolution imaging using fluorescence-lifetime emission-difference.Biomedical optics express · 2026Article
- Whole-brain, all-optical interrogation of neuronal dynamics underlying gut and vascular interoception in zebrafish.Nature communications · 2026Article
- Self-supervised image denoising and restoration method for atomic force microscopy.Nature communications · 2026Article
- ONE microscopy.Nature protocols · 2026Review
- Emission dipole orientation reveals dynamic single-molecule interactions with 2D crystals at solvent interfaces.Nature communications · 2026Article
- Implementation of an adaptive-optics assisted isoSTED nanoscope.Nature protocols · 2026Review
- NanorulerQA: quantitative quality analysis of dual-color DNA nanorulers via single-molecule photobleaching step counting and spatio-temporal colocalization.Biomedical optics express · 2026Article
- Deep Volumetric Super-Resolution Imaging in Thick Biological Specimens With Sparse Scanning SIM.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Pushing the limits of fluorescence imaging with a restoration neural network aggregating large-view statistics.Nature communications · 2026Article
- Enhancing STED microscopy via fluorescence lifetime unmixing and filtering in two-species SPLIT-STED.Methods in microscopy · 2026Article
- High-fidelity single-frame computational super-resolution using signal-preserving denoising-enabled deconvolution.Nature communications · 2026Article
- A foundation model for multi-task cross-distribution restoration of fluorescence microscopy images.Nature communications · 2026Article
- Super-resolution functional photoacoustic microscopy via label-free cell tracking.Light, science & applications · 2026Article
- Nanoscale Mapping of the Subcellular Glycosylation Landscape.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Bio-friendly and high-precision super-resolution imaging through self-supervised reconstruction structured illumination microscopy.Nature methods · 2026Article
- High-speed blind structured illumination microscopy via unsupervised algorithm unrolling.Nature communications · 2026Article
- Fast, Bright, and Reversible Fluorescent Labeling of Rhodamine-Binding Proteins.Journal of the American Chemical Society · 2026Article
- Deep Learning Super-Resolution Spectrometer Based on Fiber Random Laser With Ultrahigh Spectral Purity.Nanophotonics (Berlin, Germany) · 2026Article
- Expansion and fluctuations-enhanced microscopy for nanoscale molecular profiling of cells and tissues.Nature protocols · 2026Review
94 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Super-resolution microscopy opened diverse new avenues of research by overcoming the resolution limit imposed by diffraction. Exploitation of the fluorescent emission of individual fluorophores made it possible to reveal structures beyond the diffraction limit. To accurately determine the resolution achieved during imaging is challenging with existing metrics. Here, we propose a method for assessing the resolution of individual super-resolved images based on image partial phase autocorrelation. The algorithm is model-free and does not require any user-defined parameters. We demonstrate its performance on a wide variety of imaging modalities, including diffraction-limited techniques. Finally, we show how our method can be used to optimize image acquisition and post-processing in super-resolution microscopy.
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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.