ArticleLight, science & applications2023
Quantitatively mapping local quality of super-resolution microscopy by rolling Fourier ring correlation.
Article in Light, science & applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Article
- AI-empowered super-resolution microscopy: a revolution in nanoscale cellular imaging.Nature methods · 2026Review
- Physics-informed multi-encoder adaptive optics enables rapid aberration correction for intravital microscopy of deep complex tissue.Nature communications · 2026Article
- Quantitative rFRC-based evaluation of computational resolution enhancement in in vivo two-photon subcellular imaging.Biomedical optics express · 2026Article
- Mirror-enhanced 4Pi-SMLM with one objective enables isotropic nanoscale imaging.Nature biotechnology · 2026Article
- Self-adaptive fine-tuning of deep learning super-resolution microscopy for artifact suppression in live-cell imaging.Innovation (Cambridge (Mass.)) · 2026Article
- A neural network for long-term super-resolution imaging of live cells with reliable confidence quantification.Nature biotechnology · 2026Article
- Computational Resolution Enhancement of Mitochondria monitoring in Multiple Organs using Intravital Two-Photon Microscopy.International journal of medical sciences · 2026Article
- 2D materials-based next-generation multidimensional photodetectors.Light, science & applications · 2025Review
- Resolution assessment of super-resolution microscopy imaging: structural and technical dependencies for cell biology.Cytotechnology · 2025Article
- UV curable resin as a rapid and superior sealant for STORM.Biomedical optics express · 2025Article
- Comparative Evaluation of Combined Denoising and Resolution Enhancement Algorithms for Intravital Two-Photon Imaging of Organs.Biosensors · 2025Article
- Principal component analysis for three-dimensional structured illumination microscopy (PCA-3DSIM).Light, science & applications · 2025Article
- Pushing the resolution limit of coherent diffractive imaging.Light, science & applications · 2025Article
- Chip-based label-free incoherent super-resolution optical microscopy.Light, science & applications · 2025Article
- Super-resolution microscopy for structural biology.Nature methods · 2025Review
- Improving Imaging Field of View of 3-D Transcranial Rat Brain Super-Resolution With Robotic Registered Compounding and Nonrigid Deformation Correction.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2025Article
- Advancing Multicolor Super-Resolution Volume Imaging: Illuminating Complex Cellular Dynamics.JACS Au · 2025Review
- Dark-based optical sectioning assists background removal in fluorescence microscopy.Nature methods · 2025Article
- Bayesian deep-learning structured illumination microscopy enables reliable super-resolution imaging with uncertainty quantification.Nature communications · 2025Article
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In fluorescence microscopy, computational algorithms have been developed to suppress noise, enhance contrast, and even enable super-resolution (SR). However, the local quality of the images may vary on multiple scales, and these differences can lead to misconceptions. Current mapping methods fail to finely estimate the local quality, challenging to associate the SR scale content. Here, we develop a rolling Fourier ring correlation (rFRC) method to evaluate the reconstruction uncertainties down to SR scale. To visually pinpoint regions with low reliability, a filtered rFRC is combined with a modified resolution-scaled error map (RSM), offering a comprehensive and concise map for further examination. We demonstrate their performances on various SR imaging modalities, and the resulting quantitative maps enable better SR images integrated from different reconstructions. Overall, we expect that our framework can become a routinely used tool for biologists in assessing their image datasets in general and inspire further advances in the rapidly developing field of computational imaging.
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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.