ArticleBiophysical journal1999
The photon counting histogram in fluorescence fluctuation spectroscopy.
Article in Biophysical journal, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 236 papers.
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Who cites it
236 citing papers in PubMed.
- Protocol to determine oligomerization states of proteins in living cells using photon counting histogram analysis.STAR protocols · 2026Article
- Characterising C-X-C Chemokine Receptor 4 Dynamics in the Cell Membrane Using Fluorescence Fluctuation Spectroscopy.Biomolecules · 2026Article
- Time-Dependent Structure Assessment of Conjugated Polymer Aggregates in Solution by Single-Molecule Fluorescence Spectroscopy.Macromolecules · 2026Article
- Multi-parameter fluorescence lifetime imaging for high-noise neuroscience applications.Biomedical optics express · 2026Article
- Intensity-Based Estimation of Monomeric Brightness for Fluorescent Proteins.International journal of molecular sciences · 2025Article
- Resolving oligomeric states of photoactivatable proteins in living cells via photon counting histogram analysis.iScience · 2025Article
- Evaluating the Topological Features of Monomeric and Trimeric TRAF2-C: A Multi-Disciplinary Approach.Biomolecules · 2025Article
- Fluorescence correlation spectroscopy for particle sizing: A notorious challenge.Biophysical journal · 2025Review
- Investigating the effects of temporal correlation on accurate molecular brightness determination.Biophysical journal · 2025Article
- Near-zero photon bioimaging by fusing deep learning and ultralow-light microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Statistical analysis of fluorescence intensity transients with Bayesian methods.Science advances · 2025Article
- Quantifying biomolecular organisation in membranes with brightness-transit statistics.Nature communications · 2024Article
- Disrupting EGFR-HER2 Transactivation by Pertuzumab in HER2-Positive Cancer: Quantitative Analysis Reveals EGFR Signal Input as Potential Predictor of Therapeutic Outcome.International journal of molecular sciences · 2024Article
- On-chip microscale isoelectric focusing enhances protein detection limit.Applied physics letters · 2024Article
- GLUT4 dispersal at the plasma membrane of adipocytes: a super-resolved journey.Bioscience reports · 2023Review
- Analysis of photon trajectories from diffusing single molecules.The Journal of chemical physics · 2023Article
- Divalent nanobodies to platelet CLEC-2 can serve as agonists or antagonists.Communications biology · 2023Article
- Influence of chain length and branching on poly(ADP-ribose)-protein interactions.Nucleic acids research · 2023Article
- Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins.PLoS computational biology · 2022Article
- Impact of CaBiomolecules · 2022Article
176 more citing papers are in PubMed but not listed here.
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4 authors.
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Abstract
Fluorescence correlation spectroscopy (FCS) is generally used to obtain information about the number of fluorescent particles in a small volume and the diffusion coefficient from the autocorrelation function of the fluorescence signal. Here we demonstrate that photon counting histogram (PCH) analysis constitutes a novel tool for extracting quantities from fluorescence fluctuation data, i.e., the measured photon counts per molecule and the average number of molecules within the observation volume. The photon counting histogram of fluorescence fluctuation experiments, in which few molecules are present in the excitation volume, exhibits a super-Poissonian behavior. The additional broadening of the PCH compared to a Poisson distribution is due to fluorescence intensity fluctuations. For diffusing particles these intensity fluctuations are caused by an inhomogeneous excitation profile and the fluctuations in the number of particles in the observation volume. The quantitative relationship between the detected photon counts and the fluorescence intensity reaching the detector is given by Mandel's formula. Based on this equation and considering the fluorescence intensity distribution in the two-photon excitation volume, a theoretical expression for the PCH as a function of the number of molecules in the excitation volume is derived. For a single molecular species two parameters are sufficient to characterize the histogram completely, namely the average number of molecules within the observation volume and the detected photon counts per molecule per sampling time epsilon. The PCH for multiple molecular species, on the other hand, is generated by successively convoluting the photon counting distribution of each species with the others. The influence of the excitation profile upon the photon counting statistics for two relevant point spread functions (PSFs), the three-dimensional Gaussian PSF conventionally employed in confocal detection and the square of the Gaussian-Lorentzian PSF for two photon excitation, is explicitly treated. Measured photon counting distributions obtained with a two-photon excitation source agree, within experimental error with the theoretical PCHs calculated for the square of a Gaussian-Lorentzian beam profile. We demonstrate and discuss the influence of the average number of particles within the observation volume and the detected photon counts per molecule per sampling interval upon the super-Poissonian character of the photon counting distribution.
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