Python工具箱，用于多级发射体荧光强度的无偏统计分析
A Python toolbox for unbiased statistical analysis of fluorescence intermittency of multi-level emitters
摘要：
我们报告了一个Python工具箱，用于对单个发射器的荧光猝灭特性进行无偏统计分析。间歇性，即，瞬时发射强度和荧光衰减速率性质的逐步时间变化对于有机荧光团、II-VI量子点和钙钛矿量子点等是常见的。无偏的统计分析的非线性切换时间分布，涉及的水平和寿命是很重要的，以避免解释的假象。这项工作提供了一个实施贝叶斯变点分析和水平聚类适用于时间标记的单光子探测数据的单发射器，可以应用到真实的实验数据，并作为工具来验证假设的机械不稳定性模型的后果。我们提供了一个详细的蒙特卡罗分析来说明这些统计工具，并基准在何种程度上可以得出结论的高度复杂系统，如钙钛矿量子点之间切换过多的状态，而不是只有两个的量子物理。
英文摘要：
We report on a Python-toolbox for unbiased statistical analysis of fluorescence intermittency properties of single emitters. Intermittency, i.e., step-wise temporal variations in the instantaneous emission intensity and fluorescence decay rate properties are common to organic fluorophores, II-VI quantum dots and perovskite quantum dots alike. Unbiased statistical analysis of intermittency switching time distributions, involved levels and lifetimes is important to avoid interpretation artefacts. This work provides an implementation of Bayesian changepoint analysis and level clustering applicable to time-tagged single-photon detection data of single emitters that can be applied to real experimental data and as tool to verify the ramifications of hypothesized mechanistic intermittency models. We provide a detailed Monte Carlo analysis to illustrate these statistics tools, and to benchmark the extent to which conclusions can be drawn on the photophysics of highly complex systems, such as perovskite quantum dots that switch between a plethora of states instead of just two.
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