ArticleNature communications2019
An alternative framework for fluorescence correlation spectroscopy.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
53 citing papers in PubMed.
- Mapping Protein Diffusion from the Plasma Membrane to the Nucleus: Insights from Fluorescence Correlation Spectroscopy.Biomolecules · 2026Review
- Article
- Perspective: An outlook on fluorescence tracking.The Journal of chemical physics · 2025Article
- Fluorescence correlation spectroscopy for particle sizing: A notorious challenge.Biophysical journal · 2025Review
- FRET-FCS: Advancing comprehensive insights into complex biological systems.Biophysical journal · 2025Review
- Cationic Polyelectrolyte Adsorption onto Anionic Nanoparticles Analyzed with Frequency-Domain Scanning Fluorescence Correlation Spectroscopy.Small methods · 2025Article
- Quantitative analysis methods for free diffusion single-molecule FRET experiments.Current opinion in structural biology · 2025Review
- Physics-Inspired Single-Particle Tracking Accelerated with Parallelism.bioRxiv : the preprint server for biology · 2025Article
- Single-molecule reaction-diffusion.Biophysical journal · 2025Article
- Statistical analysis of fluorescence intensity transients with Bayesian methods.Science advances · 2025Article
- Super-photostable organic dye for long-term live-cell single-protein imaging.Nature methods · 2025Article
- Utilizing Molecular Dynamics Simulations, Machine Learning, Cryo-EM, and NMR Spectroscopy to Predict and Validate Protein Dynamics.International journal of molecular sciences · 2024Review
- An accurate probabilistic step finder for time-series analysis.Biophysical journal · 2024Article
- Quantifying biomolecular organisation in membranes with brightness-transit statistics.Nature communications · 2024Article
- Quantifying Microsecond Solution-Phase Conformational Dynamics of a DNA Hairpin at the Single-Molecule Level.ACS physical chemistry Au · 2024Article
- Statistical analysis of the autocorrelation function in fluorescence correlation spectroscopy.Biophysical journal · 2024Article
- Deep learning reduces data requirements and allows real-time measurements in imaging FCS.Biophysical journal · 2024Article
- Building Fluorescence Lifetime Maps Photon-by-Photon by Leveraging Spatial Correlations.ACS photonics · 2023Article
- Article
- An accurate probabilistic step finder for time-series analysis.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Fluorescence correlation spectroscopy (FCS), is a widely used tool routinely exploited for in vivo and in vitro applications. While FCS provides estimates of dynamical quantities, such as diffusion coefficients, it demands high signal to noise ratios and long time traces, typically in the minute range. In principle, the same information can be extracted from microseconds to seconds long time traces; however, an appropriate analysis method is missing. To overcome these limitations, we adapt novel tools inspired by Bayesian non-parametrics, which starts from the direct analysis of the observed photon counts. With this approach, we are able to analyze time traces, which are too short to be analyzed by existing methods, including FCS. Our new analysis extends the capability of single molecule fluorescence confocal microscopy approaches to probe processes several orders of magnitude faster and permits a reduction of photo-toxic effects on living samples induced by long periods of light exposure.
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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.