Wahl Michael, Gregor Ingo, Patting Mattias, Enderlein Jörg
Opt Express. 2003 Dec 29;11(26):3583-91. doi: 10.1364/oe.11.003583.
Fluorescence correlation spectroscopy (FCS) is a powerful spectroscopic technique for studying samples at dilute fluorophore concentrations down to single molecules. The standard way of data acquisition, at such low concentrations, is an asynchronous photon counting mode that generates data only when a photon is detected. A significant problem is how to efficiently convert such asynchronously recorded photon count data into a FCS curve. This problem becomes even more challenging for more complex correlation analysis such as the recently introduced combination of FCS and time-correlated single-photon counting (TCSPC). Here, we present, analyze, and apply an algorithm that is highly efficient and can easily be adapted to arbitrarily complex correlation analysis.
荧光相关光谱法(FCS)是一种强大的光谱技术,可用于研究稀荧光团浓度低至单分子的样品。在如此低的浓度下,标准的数据采集方式是异步光子计数模式,即仅在检测到光子时才生成数据。一个重大问题是如何将这种异步记录的光子计数数据有效地转换为FCS曲线。对于更复杂的相关分析,例如最近引入的FCS与时间相关单光子计数(TCSPC)的组合,这个问题变得更具挑战性。在此,我们提出、分析并应用一种高效的算法,该算法可以轻松地适应任意复杂的相关分析。