Vivaudou M B, Singer J J, Walsh J V
Pflugers Arch. 1986 Oct;407(4):355-64. doi: 10.1007/BF00652618.
Detailed kinetic studies of ion channel gating are best carried out using the patch-clamp technique which permits the measurement of the ionic current through individual channels. Typical patch-clamp recordings show the current signal, in the form of a sequence of rectangular pulses (analogous to a random telegraph signal), riding on slow baseline drift, partially obscured by high-frequency noise and distorted by filtering. In order to analyze such recordings, we have developed a set of interactive Pascal programs based on a feature-detection algorithm capable of identifying current transitions in multiple-channel recordings in the presence of substantial levels of noise and drift. Software operation is largely automated but includes provisions for examination and correction of the output. The software was optimized and systematically evaluated using simulated data with variable amounts of noise and drift. Results indicate that satisfactory performance is obtained for signal-to-noise ratio as low as four even with uncommonly large baseline drift. Steady-state processing speeds varied from 1,000 to 4,000 samples per second depending on data complexity.
离子通道门控的详细动力学研究最好使用膜片钳技术来进行，该技术能够测量通过单个通道的离子电流。典型的膜片钳记录显示，电流信号以一系列矩形脉冲的形式出现（类似于随机电报信号），叠加在缓慢的基线漂移之上，部分被高频噪声掩盖，并因滤波而失真。为了分析此类记录，我们基于一种特征检测算法开发了一套交互式Pascal程序，该算法能够在存在大量噪声和漂移的情况下识别多通道记录中的电流跃迁。软件操作在很大程度上是自动化的，但也包括对输出进行检查和校正的功能。该软件使用具有不同噪声和漂移量的模拟数据进行了优化和系统评估。结果表明，即使在基线漂移异常大的情况下，对于低至4的信噪比也能获得令人满意的性能。稳态处理速度根据数据复杂性在每秒1000至4000个样本之间变化。
