ArticleScientific reports2021
Evaluation of sted super-resolution image quality by image correlation spectroscopy (QuICS).
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Location of oncogene-induced DNA damage sites revealed by quantitative analysis of a DNA counterstain.European biophysics journal : EBJ · 2026Article
- Tracking DNA damage localization and chromatin remodeling in live cells using time-resolved quantitative analysis of DNA counterstains.Cellular and molecular life sciences : CMLS · 2026Article
- Exploiting the detector distance information in image scanning microscopy by phasor-based SPLIT-ISM.Biomedical optics express · 2025Article
- Super-resolved analysis of colocalization between replication and transcription along the cell cycle in a model of oncogene activation.Communications biology · 2024Article
- Parkinson's-linked LRRK2-G2019S derails AMPAR trafficking, mobility, and composition in striatum with cell-type and subunit specificity.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- SPLIT-PIN software enabling confocal and super-resolution imaging with a virtually closed pinhole.Scientific reports · 2023Article
- Alterations induced by the PML-RARα oncogene revealed by image cross correlation spectroscopy.Biophysical journal · 2022Article
- A phasor-based approach to improve optical sectioning in any confocal microscope with a tunable pinhole.Microscopy research and technique · 2022Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantifying the imaging performances in an unbiased way is of outmost importance in super-resolution microscopy. Here, we describe an algorithm based on image correlation spectroscopy (ICS) that can be used to assess the quality of super-resolution images. The algorithm is based on the calculation of an autocorrelation function and provides three different parameters: the width of the autocorrelation function, related to the spatial resolution; the brightness, related to the image contrast; the relative noise variance, related to the signal-to-noise ratio of the image. We use this algorithm to evaluate the quality of stimulated emission depletion (STED) images of DNA replication foci in U937 cells acquired under different imaging conditions. Increasing the STED depletion power improves the resolution but may reduce the image contrast. Increasing the number of line averages improves the signal-to-noise ratio but facilitates the onset of photobleaching and subsequent reduction of the image contrast. Finally, we evaluate the performances of two different separation of photons by lifetime tuning (SPLIT) approaches: the method of tunable STED depletion power and the commercially available Leica Tau-STED. We find that SPLIT provides an efficient way to improve the resolution and contrast in STED microscopy.
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Registered trials
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