Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA.
J Chem Phys. 2023 Jul 14;159(2). doi: 10.1063/5.0153114.
In single-molecule free diffusion experiments, molecules spend most of the time outside a laser spot and generate bursts of photons when they diffuse through the focal spot. Only these bursts contain meaningful information and, therefore, are selected using physically reasonable criteria. The analysis of the bursts must take into account the precise way they were chosen. We present new methods that allow one to accurately determine the brightness and diffusivity of individual molecule species from the photon arrival times of selected bursts. We derive analytical expressions for the distribution of inter-photon times (with and without burst selection), the distribution of the number of photons in a burst, and the distribution of photons in a burst with recorded arrival times. The theory accurately treats the bias introduced due to the burst selection criteria. We use a Maximum Likelihood (ML) method to find the molecule's photon count rate and diffusion coefficient from three kinds of data, i.e., the bursts of photons with recorded arrival times (burstML), inter-photon times in bursts (iptML), and the numbers of photon counts in a burst (pcML). The performance of these new methods is tested on simulated photon trajectories and on an experimental system, the fluorophore Atto 488.
在单分子自由扩散实验中,分子大部分时间都在激光光斑之外,只有当它们扩散通过焦斑时才会产生光子爆发。只有这些爆发包含有意义的信息,因此可以使用合理的物理标准来选择。对爆发的分析必须考虑到它们被选择的精确方式。我们提出了新的方法,允许从选定爆发的光子到达时间准确地确定单个分子种类的亮度和扩散系数。我们推导出了带有和不带爆发选择的光子间时间分布、爆发中光子数量的分布以及记录到达时间的爆发中的光子分布的解析表达式。该理论准确地处理了由于爆发选择标准而引入的偏差。我们使用最大似然 (ML) 方法从三种数据中找到分子的光子计数率和扩散系数,即带有记录到达时间的光子爆发 (burstML)、爆发中的光子间时间 (iptML) 和爆发中的光子计数 (pcML)。这些新方法的性能在模拟光子轨迹和实验系统(荧光染料 Atto 488)上进行了测试。