一种用于理想化包含多个未知电导水平的单离子通道数据的新算法。
A new algorithm for idealizing single ion channel data containing multiple unknown conductance levels.
作者信息
VanDongen A M
机构信息
Department of Pharmacology, Duke University Medical Center, Durham, North Carolina 27710, USA.
出版信息
Biophys J. 1996 Mar;70(3):1303-15. doi: 10.1016/S0006-3495(96)79687-X.
Abstract
A new algorithm is presented for idealizing single channel data containing any number of conductance levels. The number of levels and their amplitudes do not have to be known a priori. No assumption has to be made about the behavior of the channel, other than that transitions between conductance levels are fast. The algorithm is relatively insensitive to the complexity of the underlying single channel behavior. Idealization may be reliable with signal-to-noise ratios as low as 3.5. The idealization algorithm uses a slope detector to localize transitions between levels and a relative amplitude criterion to remove spurious transitions. After estimating the number of conductances and their amplitudes, conductance states can be assigned to the idealized levels. In addition to improving the quality of the idealization, this "interpretation" allows a statistical analysis of individual (sub)conductance states.
摘要
提出了一种新算法，用于将包含任意数量电导水平的单通道数据理想化。水平数量及其幅度无需事先知晓。除了电导水平之间的转换很快这一条件外，无需对通道行为做任何假设。该算法对潜在单通道行为的复杂性相对不敏感。在信噪比低至3.5时，理想化也可能是可靠的。理想化算法使用斜率检测器来定位水平之间的转换，并使用相对幅度准则来去除虚假转换。在估计出电导数量及其幅度后，可将电导状态分配给理想化水平。除了提高理想化质量外，这种“解释”还允许对单个（子）电导状态进行统计分析。
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