ArticleBiomedical optics express2022
LuckyProfiler: an ImageJ plug-in capable of quantifying FWHM resolution easily and effectively for super-resolution images.
Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- NanorulerQA: quantitative quality analysis of dual-color DNA nanorulers via single-molecule photobleaching step counting and spatio-temporal colocalization.Biomedical optics express · 2026Article
- Resolution assessment of super-resolution microscopy imaging: structural and technical dependencies for cell biology.Cytotechnology · 2025Article
- Self-inspired learning for denoising live-cell super-resolution microscopy.Nature methods · 2024Article
- Real-time data processing in colorimetry camera-based single-molecule localization microscopy via CPU-GPU-FPGA heterogeneous computation.Biomedical optics express · 2024Article
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Authors and funding
7 authors.
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Abstract
Quantifying the resolution of a super-resolution image is vital for biologists trying to apply super-resolution microscopy in various research fields. Among the reported image resolution estimation methods, the one that calculates the full width at half maximum (FWHM) of line profile, called FWHM resolution, continues the traditional resolution criteria and has been popularly used by many researchers. However, quantifying the FWHM resolution of a super-resolution image is a time-consuming, labor-intensive, and error-prone process because this method typically involves a manual and careful selection of one or several of the smallest structures. In this paper, we investigate the influencing factors in FWHM resolution quantification systematically and present an ImageJ plug-in called LuckyProfiler for biologists so that they can have an easy and effective way of quantifying the FWHM resolution of super-resolution images.
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Registered trials
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