Single-photon smFRET. III. Application to pulsed illumination.

Area of Science:

• Biophysics
• Single-molecule spectroscopy
• Statistical analysis

Background:

• Pulsed illumination in Förster resonance energy transfer (FRET) enables lifetime analysis, crucial for single-molecule FRET (smFRET).
• Quantitative smFRET analysis faces challenges including state deduction, uncertainty quantification, and accounting for detector and experimental noise.

Purpose of the Study:

• To implement a Bayesian nonparametric framework for quantitative smFRET data analysis under pulsed illumination.
• To address limitations in simultaneously deducing kinetics and system states, quantifying uncertainties, and handling noise sources.

Main Methods:

• Application of a Bayesian nonparametric framework tailored for pulsed illumination smFRET.
• Analysis of synthetic and experimental data, including Holliday junctions, to validate the method.

Main Results:

• Successful implementation of the Bayesian nonparametric framework for pulsed smFRET.
• Demonstrated ability to simultaneously deduce kinetics and number of system states with uncertainty quantification.
• Effective accounting for detector noise (crosstalk, instrument response function) and background noise.

Conclusions:

• The developed Bayesian nonparametric approach provides a robust solution for quantitative pulsed smFRET data analysis.
• This method enhances the accuracy and reliability of smFRET studies by addressing key analytical challenges.