ArticleScientific reports2017
Correcting for photodestruction in super-resolution optical fluctuation imaging.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- In-situ microscopy and digital image correlation to study the mechanical characteristics of polymer-based materials.Discover materials · 2025Review
- Quantitative Single-Molecule Localization Microscopy.Annual review of biophysics · 2023Review
- 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
- Smoothness correction for better SOFI imaging.Scientific reports · 2021Article
- Multi-Color, Bleaching-Resistant Super-Resolution Optical Fluctuation Imaging with Oligonucleotide-Based Exchangeable Fluorophores.Angewandte Chemie (International ed. in English) · 2021Article
- SOFIevaluator: a strategy for the quantitative quality assessment of SOFI data.Biomedical optics express · 2020Article
- Quantitative super-resolution single molecule microscopy dataset of YFP-tagged growth factor receptors.GigaScience · 2018Article
- Reduced Fluorescent Protein Switching Fatigue by Binding-Induced Emissive State Stabilization.International journal of molecular sciences · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Super-resolution optical fluctuation imaging overcomes the diffraction limit by analyzing fluctuations in the fluorophore emission. A key assumption of the imaging is that the fluorophores are independent, though this is invalidated in the presence of photodestruction. In this work, we evaluate the effect of photodestruction on SOFI imaging using theoretical considerations and computer simulations. We find that photodestruction gives rise to an additional signal that does not present an easily interpretable view of the sample structure. This additional signal is strong and the resulting images typically exhibit less noise. Accordingly, these images may be mis-interpreted as being more visually pleasing or more informative. To address this uncertainty, we develop a procedure that can robustly estimate to what extent any particular experiment is affected by photodestruction. We also develop a detailed assessment methodology and use it to evaluate the performance of several correction algorithms. We identify two approaches that can correct for the presence of even strong photodestruction, one of which can be implemented directly in the SOFI calculation software.
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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.