Shaver J M, McGown L B
Department of Chemistry, P.M. Gross Chemical Laboratory, Duke University, Durham, North Carolina 27708-0346, USA.
Anal Chem. 1996 Feb 15;68(4):611-20. doi: 10.1021/ac950833l.
The maximum entropy method (MEM) provides a robust and unbiased solution to fluorescence lifetime data through the use of a broad window of decay terms fit by simultaneous minimization of the chi 2 goodness-of-fit parameter and maximization of a statistical entropy function. This work investigated the effects of three systematic errors, common in frequency-domain measurements, on fluorescence lifetime recovery by MEM. Through real and simulated data, the expression of the systematic errors in lifetime distributions recovered by MEM was compared to that in standard nonlinear least-squares (NLLS) analysis. Reference lifetime errors in the presence of random noise had similar effects on both MEM and NLLS results. Characteristic changes in the recovered lifetimes, fractional intensities, and peak shapes were related to the identification of the true reference lifetime. Compared to NLLS, MEM afforded significant improvements for the recovery of lifetimes and fractional intensities from data containing timing or mismatched intensity errors. These improvements are linked to the dynamic, self-modeling approach of MEM and the direction provided by the entropy criterion. These results speak to the utility of the maximum entropy approach in frequency-domain fluorescence lifetime recovery as well as in other applications.
最大熵方法(MEM)通过使用由χ2拟合优度参数的同时最小化和统计熵函数的最大化来拟合的宽衰减项窗口,为荧光寿命数据提供了一种稳健且无偏的解决方案。这项工作研究了频域测量中常见的三种系统误差对通过MEM恢复荧光寿命的影响。通过真实数据和模拟数据,将MEM恢复的寿命分布中的系统误差表达式与标准非线性最小二乘法(NLLS)分析中的进行了比较。存在随机噪声时的参考寿命误差对MEM和NLLS结果有类似的影响。恢复的寿命、分数强度和峰形的特征变化与真实参考寿命的识别有关。与NLLS相比,MEM在从包含定时或强度不匹配误差的数据中恢复寿命和分数强度方面有显著改进。这些改进与MEM的动态自建模方法以及熵准则提供的方向有关。这些结果表明最大熵方法在频域荧光寿命恢复以及其他应用中的实用性。