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Distributions-per-level: a means of testing level detectors and models of patch-clamp data.

Schröder, I. and Huth, T. and Suitchmezian, V. and Jarosik, J. and Schnell, S. and Hansen, U. P. (2004):
Distributions-per-level: a means of testing level detectors and models of patch-clamp data.
197, In: The Journal of Membrane Biology, (1), pp. 49-58. ISSN 0022-2631,
[Article]

Abstract

Level or jump detectors generate the reconstructed time series from a noisy record of patch-clamp current. The reconstructed time series is used to create dwell-time histograms for the kinetic analysis of the Markov model of the investigated ion channel. It is shown here that some additional lines in the software of such a detector can provide a powerful new means of patch-clamp analysis. For each current level that can be recognized by the detector, an array is declared. The new software assigns every data point of the original time series to the array that belongs to the actual state of the detector. From the data sets in these arrays distributions-per-level are generated. Simulated and experimental time series analyzed by Hinkley detectors are used to demonstrate the benefits of these distributions-per-level. First, they can serve as a test of the reliability of jump and level detectors. Second, they can reveal beta distributions as resulting from fast gating that would usually be hidden in the overall amplitude histogram. Probably the most valuable feature is that the malfunctions of the Hinkley detectors turn out to depend on the Markov model of the ion channel. Thus, the errors revealed by the distributions-per-level can be used to distinguish between different putative Markov models of the measured time series.

Item Type: Article
Erschienen: 2004
Creators: Schröder, I. and Huth, T. and Suitchmezian, V. and Jarosik, J. and Schnell, S. and Hansen, U. P.
Title: Distributions-per-level: a means of testing level detectors and models of patch-clamp data.
Language: English
Abstract:

Level or jump detectors generate the reconstructed time series from a noisy record of patch-clamp current. The reconstructed time series is used to create dwell-time histograms for the kinetic analysis of the Markov model of the investigated ion channel. It is shown here that some additional lines in the software of such a detector can provide a powerful new means of patch-clamp analysis. For each current level that can be recognized by the detector, an array is declared. The new software assigns every data point of the original time series to the array that belongs to the actual state of the detector. From the data sets in these arrays distributions-per-level are generated. Simulated and experimental time series analyzed by Hinkley detectors are used to demonstrate the benefits of these distributions-per-level. First, they can serve as a test of the reliability of jump and level detectors. Second, they can reveal beta distributions as resulting from fast gating that would usually be hidden in the overall amplitude histogram. Probably the most valuable feature is that the malfunctions of the Hinkley detectors turn out to depend on the Markov model of the ion channel. Thus, the errors revealed by the distributions-per-level can be used to distinguish between different putative Markov models of the measured time series.

Journal or Publication Title: The Journal of Membrane Biology
Volume: 197
Number: 1
Divisions: 10 Department of Biology
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10 Department of Biology > Plant Membrane Biophysics
10 Department of Biology > Membrane Dynamics
Date Deposited: 25 Oct 2012 11:50
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