ArticleBiomedical optics express2020
SOFIevaluator: a strategy for the quantitative quality assessment of SOFI data.
Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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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Who cites it
12 citing papers in PubMed.
- A series of spontaneously blinking dyes for super-resolution microscopy.Nature methods · 2026Article
- All-optical strategies to minimize photobleaching in reversibly switchable fluorescent proteins.Nature communications · 2025Article
- 3D super-resolution optical fluctuation imaging with temporal focusing two-photon excitation.Biomedical optics express · 2024Article
- High-fidelity 3D live-cell nanoscopy through data-driven enhanced super-resolution radial fluctuation.Nature methods · 2023Article
- Quantitative Single-Molecule Localization Microscopy.Annual review of biophysics · 2023Review
- Fluorescence fluctuation-based super-resolution microscopy: Basic concepts for an easy start.Journal of microscopy · 2022Review
- Technological advances in super-resolution microscopy to study cellular processes.Molecular cell · 2022Review
- Design of experiments for the optimization of SOFI super-resolution microscopy imaging.Biomedical optics express · 2021Article
- Photochromic Fluorophores Enable Imaging of Lowly Expressed Proteins in the Autofluorescent Fungus Candida albicans.mSphere · 2021Article
- Orthogonal fluorescent chemogenetic reporters for multicolor imaging.Nature chemical biology · 2021Article
- A comprehensive dataset of image sequences covering 20 fluorescent protein labels and 12 imaging conditions for use in super-resolution imaging.Data in brief · 2020Article
- 25Biomedical optics express · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Super-resolution fluorescence imaging techniques allow optical imaging of specimens beyond the diffraction limit of light. Super-resolution optical fluctuation imaging (SOFI) relies on computational analysis of stochastic blinking events to obtain a super-resolved image. As with some other super-resolution methods, this strong dependency on computational analysis can make it difficult to gauge how well the resulting images reflect the underlying sample structure. We herein report SOFIevaluator, an unbiased and parameter-free algorithm for calculating a set of metrics that describes the quality of super-resolution fluorescence imaging data for SOFI. We additionally demonstrate how SOFIevaluator can be used to identify fluorescent proteins that perform well for SOFI imaging under different imaging conditions.
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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.