ReviewJournal of microscopy2022
Fluorescence fluctuation-based super-resolution microscopy: Basic concepts for an easy start.
Review in Journal of microscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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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
14 citing papers in PubMed.
- Progress in the Design and Clinical Application of Probes for Fluorescence-Guided Laparoscopic Surgery.Chemical & biomedical imaging · 2026Review
- Breaking the 100-nm resolution barrier with multiphoton microscopy using image scanning microscopy and optical fluctuation imaging.Journal of biomedical optics · 2026Article
- PSF-Driven Spatio-Temporal Blending in Fluorescence Lifetime Imaging Microscopy and Its Mitigation via Mean-Shift Super-Resolution-Based Masking.bioRxiv : the preprint server for biology · 2026Article
- Volumetric localization microscopy with deep learning.Nature communications · 2025Article
- Optical super-resolution histology of formalin-fixed paraffin-embedded tissue samples: challenges and opportunities.Nature communications · 2025Review
- Super-resolution algorithms for imaging FCS enhancement: A comparative study.Biophysical journal · 2025Article
- AI-based hardware and software tools in microscopy to boost research in immunology and virology.Frontiers in immunology · 2025Review
- Resolving viral structural complexity by super-resolution microscopy.Archives of virology · 2024Review
- Fluorescence super-resolution microscopy via fluctuation-based multi-route synergy.Biomedical optics express · 2024Article
- Wide-field intensity fluctuation imaging.Biomedical optics express · 2024Article
- High-fidelity 3D live-cell nanoscopy through data-driven enhanced super-resolution radial fluctuation.Nature methods · 2023Article
- Wide-field Intensity Fluctuation Imaging.bioRxiv : the preprint server for biology · 2023Article
- Fluorescence radial fluctuation enables two-photon super-resolution microscopy.Frontiers in cellular neuroscience · 2023Article
- Fluorescence fluctuation-based super-resolution microscopy: Basic concepts for an easy start.Journal of microscopy · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Due to the wave nature of light, optical microscopy has a lower-bound lateral resolution limit of approximately half of the wavelength of visible light, that is, within the range of 200 to 350 nm. Fluorescence fluctuation-based super-resolution microscopy (FF-SRM) is a term used to encompass a collection of image analysis techniques that rely on the statistical processing of temporal variations of the fluorescence signal. FF-SRM aims to reduce the uncertainty of the location of fluorophores within an image, often improving spatial resolution by several tens of nanometers. FF-SRM is suitable for live-cell imaging due to its compatibility with most fluorescent probes and relatively simple instrumental and experimental requirements, which are mostly camera-based epifluorescence instruments. Each FF-SRM approach has strengths and weaknesses, which depend directly on the underlying statistical principles through which enhanced spatial resolution is achieved. In this review, the basic concepts and principles behind a range of FF-SRM methods published to date are described. Their operational parameters are explained and guidance for their selection is provided.
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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.