ArticleBiophysical journal2023
Autocorrelation function of finite-length data in fluorescence correlation spectroscopy.
Article in Biophysical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
- Mapping Protein Diffusion from the Plasma Membrane to the Nucleus: Insights from Fluorescence Correlation Spectroscopy.Biomolecules · 2026Review
- Spatial triple-correlation spectroscopy reveals heterotrimer dynamics in live cells.Biophysical journal · 2026Article
- Comparative validation of speckle contrast optical spectroscopy against diffuse correlation spectroscopy for monitoring human cerebral blood flow.Neurophotonics · 2026Article
- Nanoscale domains govern local diffusion and ageing within fused-in-sarcoma condensates.Nature nanotechnology · 2026Article
- Transient binding facilitates super-resolution imaging of functional amyloid fibrils on living bacteria.Protein science : a publication of the Protein Society · 2026Article
- Correction of Background in Fluorescence Correlation Spectroscopy for Accurate Determination of Particle Number.Biomolecules · 2025Article
- Measuring PARP1 mobility at DNA damage sites by segmented fluorescence correlation spectroscopy.Biophysical journal · 2025Article
- Super-resolution algorithms for imaging FCS enhancement: A comparative study.Biophysical journal · 2025Article
- Model-free photon analysis of diffusion-based single-molecule FRET experiments.Nature communications · 2025Article
- Statistical analysis of fluorescence intensity transients with Bayesian methods.Science advances · 2025Article
- Segmented fluorescence correlation spectroscopy (FCS) on a commercial laser scanning microscope.Scientific reports · 2024Article
- Deep learning reduces data requirements and allows real-time measurements in imaging FCS.Biophysical journal · 2024Article
- Machine learning and advanced statistical analysis for fluorescence correlation spectroscopy.Biophysical journal · 2024Article
- Statistical analysis of the autocorrelation function in fluorescence correlation spectroscopy.Biophysical journal · 2024Article
- Current capabilities and future perspectives of FCS: super-resolution microscopy, machine learning, and in vivo applications.Communications biology · 2023Review
- New theory tremendously improves data evaluation of fluorescence correlation spectroscopy.Biophysical journal · 2023Article
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Abstract
The experimental autocorrelation function of fluorescence correlation spectroscopy calculated from finite-length data is a biased estimator of the theoretical correlation function. This study presents a new theoretical framework that explicitly accounts for the data length to allow for unbiased analysis of experimental autocorrelation functions. To validate our theory, we applied it to experiments and simulations of diffusion and characterized the accuracy and precision of the resulting parameter estimates. Because measurements in living cells are often affected by instabilities of the fluorescence signal, autocorrelation functions are typically calculated on segmented data to improve their robustness. Our reformulated theory extends the range of usable segment times down to timescales approaching the diffusion time. This flexibility confers unique advantages for live-cell data that contain intensity variations and instabilities. We describe several applications of short segmentation to analyze data contaminated with unwanted fluctuations, drifts, or spikes in the intensity that are not suited for conventional fluorescence correlation analysis. These results demonstrate the potential of our theoretical framework to significantly expand the experimental systems accessible to fluorescence correlation spectroscopy.
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