ArticleNature communications2017
Local dimensionality determines imaging speed in localization microscopy.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Closing the multichannel gap through computational reconstruction of interaction in super-resolution microscopy.Patterns (New York, N.Y.) · 2025Review
- AI-based hardware and software tools in microscopy to boost research in immunology and virology.Frontiers in immunology · 2025Review
- Joint registration of multiple point clouds for fast particle fusion in localization microscopy.Bioinformatics (Oxford, England) · 2022Article
- Sub-diffraction error mapping for localisation microscopy images.Nature communications · 2021Article
- DETECTOR: structural information guided artifact detection for super-resolution fluorescence microscopy image.Biomedical optics express · 2021Article
- Article
- Single-molecule localization microscopy.Nature reviews. Methods primers · 2021Article
- Quantifying accuracy and heterogeneity in single-molecule super-resolution microscopy.Nature communications · 2020Article
- Combined AFM and super-resolution localisation microscopy: Investigating the structure and dynamics of podosomes.European journal of cell biology · 2020Article
- SOFIevaluator: a strategy for the quantitative quality assessment of SOFI data.Biomedical optics express · 2020Article
- Fluorescent Protein-Based Indicators for Functional Super-Resolution Imaging of Biomolecular Activities in Living Cells.International journal of molecular sciences · 2019Review
- Article
- Resolution limit of image analysis algorithms.Nature communications · 2019Article
- A machine learning approach for online automated optimization of super-resolution optical microscopy.Nature communications · 2018Article
- The Rényi divergence enables accurate and precise cluster analysis for localization microscopy.Bioinformatics (Oxford, England) · 2018Article
- Template-free 2D particle fusion in localization microscopy.Nature methods · 2018Article
- Switchable Fluorophores for Single-Molecule Localization Microscopy.Chemical reviews · 2018Review
- Minimizing Structural Bias in Single-Molecule Super-Resolution Microscopy.Scientific reports · 2018Article
- Artifact-free high-density localization microscopy analysis.Nature methods · 2018Article
- Quantitative mapping and minimization of super-resolution optical imaging artifacts.Nature methods · 2018Article
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Authors and funding
6 authors.
Funding
Abstract
Localization microscopy allows biological samples to be imaged at a length scale of tens of nanometres. Live-cell super-resolution imaging is rare, as it is generally assumed to be too slow for dynamic samples. The speed of data acquisition can be optimized by tuning the density of activated fluorophores in each time frame. Here, we show that the maximum achievable imaging speed for a particular structure varies by orders of magnitude, depending on the sample dimensionality (that is, whether the sample is more like a point, a strand or an extended structure such as a focal adhesion). If too high an excitation density is used, we demonstrate that the analysis undergoes silent failure, resulting in reconstruction artefacts. We are releasing a tool to allow users to identify areas of the image in which the activation density was too high and correct for them, in both live- and fixed-cell experiments.
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