Stark J A, Hladky S B
National Institute of Statistical Sciences, Research Triangle Park, North Carolina 27709-4006, USA.
Biophys J. 2000 Feb;78(2):662-7. doi: 10.1016/S0006-3495(00)76624-0.
Dwell-time histograms are often plotted as part of patch-clamp investigations of ion channel currents. The advantages of plotting these histograms with a logarithmic time axis were demonstrated by, J. Physiol. (Lond.). 378:141-174), Pflügers Arch. 410:530-553), and, Biophys. J. 52:1047-1054). Sigworth and Sine argued that the interpretation of such histograms is simplified if the counts are presented in a manner similar to that of a probability density function. However, when ion channel records are recorded as a discrete time series, the dwell times are quantized. As a result, the mapping of dwell times to logarithmically spaced bins is highly irregular; bins may be empty, and significant irregularities may extend beyond the duration of 100 samples. Using simple approximations based on the nature of the binning process and the transformation rules for probability density functions, we develop adjustments for the display of the counts to compensate for this effect. Tests with simulated data suggest that this procedure provides a faithful representation of the data.
驻留时间直方图通常作为离子通道电流膜片钳研究的一部分进行绘制。《生理学杂志》(伦敦)(378:141 - 174)、《普弗勒尔氏 Archiv》(410:530 - 553)以及《生物物理学杂志》(52:1047 - 1054)证明了使用对数时间轴绘制这些直方图的优势。西格沃思和西内认为,如果以类似于概率密度函数的方式呈现计数,那么对此类直方图的解释会更简单。然而,当离子通道记录作为离散时间序列进行记录时,驻留时间是量化的。结果,驻留时间到对数间隔区间的映射非常不规则;区间可能为空,并且显著的不规则性可能延伸超过100个样本的持续时间。基于区间划分过程的性质和概率密度函数的变换规则,我们使用简单的近似方法,对计数显示进行调整以补偿这种效应。对模拟数据的测试表明,该过程能如实反映数据。