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. 2008 Nov;132(5):547–562. doi: 10.1085/jgp.200810051

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© 2008 Jara-Oseguera et al.

This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.jgp.org/misc/terms.shtml). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 3.0 Unported license, as described at http://creativecommons.org/licenses/by-nc-sa/3.0/).

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Figure 1. — Analysis of a fast two-state process with amplitude histograms and the β distribution. (A) Monte-Carlo simulation of the process with blocking rate β and unblocking rate α = 51,000 s⁻¹. The simulation is set so that the amplitudes of the states in the scheme are O (open) = 1 and B (blocked) = 0. (B) The simulated data in A after filtering with a Gaussian filter with corner frequency, f_c, of 2500 Hz. The data becomes smeared and the amplitude is reduced. (C) Amplitude histogram compiled from all the points from the trace in B (gray trace). The black trace is the fit of the β distribution to the data (Eq. 2) with parameters β = 51,200 s⁻¹, α = 50,950 s⁻¹, and τ = 0.418/f_c.