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Related Experiment Video

Updated: Jun 22, 2026

Time-Resolved Fluorescence Anisotropy from Single Molecules for Characterizing Local Flexibility in Biomolecules
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Time-Resolved Fluorescence Anisotropy from Single Molecules for Characterizing Local Flexibility in Biomolecules

Published on: April 25, 2025

Photon statistics in single molecule orientational imaging.

Matthew R Foreman, Sherif S Sherif, Peter Török

    Optics Express
    |June 25, 2009
    PubMed
    Summary
    This summary is machine-generated.

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    Photon counting in single molecule imaging is improved by considering photoelectron statistics and reorientational dynamics. This provides a general probability function for detected photons across various system conditions.

    Area of Science:

    • Optics and Photonics
    • Biophysics
    • Statistical Mechanics

    Background:

    • Single molecule imaging utilizes photon counting for data acquisition.
    • Information extraction relies on statistical signal processing of photoelectron statistics.
    • Reorientational dynamics (wobble) introduce random signal variations.

    Purpose of the Study:

    • To derive a general probability density function for detected photons.
    • To incorporate both photoelectron counting statistics and reorientational dynamics.
    • To analyze the interplay between these factors in photon detection.

    Main Methods:

    • Statistical signal processing applied to photon counting data.
    • Development of a theoretical model including reorientational dynamics.

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  • Analysis of photon detection probability across different photon number regimes.

    • Main Results:

    • A general probability density function for detected photons was derived.
    • The relative importance of counting statistics and wobble depends on the total photon count.
    • The model is applicable to various experimental regimes.

    Conclusions:

    • The derived probability density function offers a more comprehensive model for photon detection in single molecule imaging.
    • Understanding both counting statistics and reorientational dynamics is crucial for accurate data interpretation.
    • This work enhances the analysis of optical signals in single molecule studies.