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Correction for missed events based on a realistic model of a detector.

机译:根据检测器的真实模型对遗漏事件进行校正。

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摘要

Quantitative patch-clamp analysis based on dwell-time histograms has to deal with the problem of missed events. The correction of the evaluated time constants has to take into account the characteristics of the detector used for the reconstruction of the time series. In previous approaches a simple model of the detector has been used, which is based on the assumption that all events shorter than the temporal resolution tres were missed, irrespective of the preceding events. Rather than the standard assumption of a fixed dead time, we introduce a more realistic model of a detector by a continuous-time version of the Hinkley detector. The combined state of the channel and the detector obeys a Markov model, which is governed by a Fokker-Planck-Kolmogorov partial differential equation. The steady-state solution leads to the determination of the apparent time constants tau o and tau c depending on the true rate constants koc and kco and the temporal resolution tres of the detector. Simulations with different kinds of detectors, including the Bessel filter with half-amplitude threshold detection, are performed. They show that our new equation predicts the dependence of tau c and tau o on koc, kco, and tres better than the standard equation used until now.
机译:基于停留时间直方图的定量膜片钳分析必须处理遗漏事件的问题。评估的时间常数的校正必须考虑到用于重建时间序列的检测器的特性。在先前的方法中,已经使用了检测器的简单模型,该模型基于以下假设:与前面的事件无关,错过了所有比时间分辨率tres短的事件。我们不是使用固定死区时间的标准假设,而是通过连续时间版本的欣克利探测器引入了更为逼真的探测器模型。通道和检测器的组合状态服从Markov模型,该模型由Fokker-Planck-Kolmogorov偏微分方程控制。稳态解根据实际速率常数koc和kco以及检测器的时间分辨率tres确定视在时间常数tau和tauc。使用不同类型的检测器(包括具有半振幅阈值检测的贝塞尔滤波器)进行仿真。他们表明,我们的新方程预测的tau c和tau o对koc,kco和tres的依赖性要优于到目前为止使用的标准方程。

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