Direct Photon-by-Photon Analysis of Time-Resolved Pulsed Excitation Data using Bayesian Nonparametrics

Meysam Tavakoli, Sina Jazani, Ioannis Sgouralis, Wooseok Heo, Kunihiko Ishii, Tahei Tahara, Steve Pressé

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


Lifetimes of chemical species are typically estimated by either fitting time-correlated single-photon counting (TCSPC) histograms or phasor analysis from time-resolved photon arrivals. While both methods yield lifetimes in a computationally efficient manner, their performance is limited by choices made on the number of distinct chemical species contributing photons. However, the number of species is encoded in the photon arrival times collected for each illuminated spot and need not be set by hand a priori. Here, we propose a direct photon-by-photon analysis of data drawn from pulsed excitation experiments to infer, simultaneously and self-consistently, the number of species and their associated lifetimes from a few thousand photons. We do so by leveraging new mathematical tools within the Bayesian nonparametric. We benchmark our method for both simulated and experimental data for 1–4 species.

Original languageEnglish (US)
Article number100234
JournalCell Reports Physical Science
Issue number11
StatePublished - Nov 18 2020


  • Bayesian nonparametrics
  • Markov chain Monte Carlo
  • data analysis
  • fluorescence lifetime imaging
  • phasor plot

ASJC Scopus subject areas

  • Engineering(all)
  • Energy(all)
  • Physics and Astronomy(all)
  • Chemistry(all)
  • Materials Science(all)


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