Direct photon-by-photon analysis of time-resolved pulsed excitation data using Bayesian nonparametrics
Direct photon-by-photon analysis of time-resolved pulsed excitation data using Bayesian nonparametrics
复制标题
使用贝叶斯非参数对时间分辨脉冲激发数据进行直接逐光子分析
DOI：
10.1016/j.xcrp.2020.100234
复制
发表时间：
2020
影响因子：
8.9
通讯作者：
and Steve Presse
中科院分区：
文献类型：
--
作者：
Meysam Tavakoli;Sina Jazani;Ioannis Sgouralis;Wooseok Heo;Kunihiko Ishii;Tahei Tahara;and Steve Presse
化学物种的寿命通常通过拟合时间相关单光子计数（TCSPC）直方图或从时间分辨光子到达的相量分析来估计。虽然这两种方法都以计算效率高的方式产生寿命，但它们的性能受到对贡献光子的不同化学物质数量的选择的限制。然而，物种的数量被编码在为每个照明点收集的光子到达时间中，并且不需要事先手动设置。在这里，我们提出了一个直接的光子由光子分析的数据从脉冲激发实验推断，同时和自洽，物种的数量和它们相关的寿命从几千个光子。我们通过利用贝叶斯非参数中的新数学工具来做到这一点。我们基准我们的方法为1-4种模拟和实验数据。
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 handa 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.