ArticleBiophysical journal2024
Statistical analysis of the autocorrelation function in fluorescence correlation spectroscopy.
Article in Biophysical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Article
- Clinical correlates of lipoprotein (a) and apolipoprotein B levels in patients with dyslipidemia and cardiovascular disease.Frontiers in cardiovascular medicine · 2026Article
- Investigating the effects of temporal correlation on accurate molecular brightness determination.Biophysical journal · 2025Article
- Statistical analysis of fluorescence intensity transients with Bayesian methods.Science advances · 2025Article
- Machine learning and advanced statistical analysis for fluorescence correlation spectroscopy.Biophysical journal · 2024Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Fluorescence correlation spectroscopy (FCS) is a powerful method to measure concentration, mobility, and stoichiometry in solution and in living cells, but quantitative analysis of FCS data remains challenging due to the correlated noise in the autocorrelation function (ACF) of FCS. We demonstrate here that least-squares fitting of the conventional ACF is incompatible with the χ
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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.