Blind Deconvolution of Postsynaptic Currents Figure 5. Fits of amplitude distributions for model data from simulations. A, The distribution of channel openings was derived for 8000 events with a model comprising 150 AMPA receptors. The magnitude of a single quantum was set to 0.1 of total receptor saturation, or 15 channels; the mean number of quanta per fusion event was 4 and the root-mean-square experimental noise was 10 pA. B, The distribution was derived from 8000 simulated events for a model with 300 AMPA receptors. The single quantum was set to 0.125 of total receptor saturation, or 37.5 channels. C, D, Convolving the data in respectively panels A and B with the kinetics of channel reclosure and the membrane time constant blurs both distributions. E, F, The final amplitude distributions, which include the additional effect of additive noise, lack distinct peaks. doi:10.1371/journal.pone.0038198.g005 such as their location and amplitude, or the shapes of events, even if the events are highly overlapping and the signal-to-noise ratio is low. By publishing the algorithm and its source code in an open manner at https://github.com/andorardo/fade, we encourage users to add our algorithm to their repertory. Supporting Information Figure S2 Schematic of the algorithm’s nested loops. (PDF) Figure S1 nalysis. (TIFF) Detection parameters used for analysis with MiniA- Appendix S1 The implementation and computational aspects of the algorithm are described in the Appendix. (DOC) Acknowledgments We thank J. Agapiou, W. Bialek, and D. J. C. MacKay for informative discussions. Author Contributions Conceived and designed the experiments: DA ECK AJH MOM. Performed the experiments: ECK AJH. Analyzed the data: DA MOM. Contributed reagents/materials/analysis tools: DA. Wrote the paper: DA ECK AJH MOM. Wrote the software: DA. PLoS ONE | www.plosone.org 8 June 2012 | Volume 7 | Issue 6 | e38198