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- W1969734808 abstract "Electrochemical microelectrodes located immediately adjacent to the cell surface can detect spikes of amperometric current during quantal exocytosis as the transmitter released from a single vesicle is oxidized on the electrode surface. Automated techniques are needed to detect spikes that vary considerably in amplitude and time course. We compared three algorithms for spike detection against the gold standard of manual detection. The most widely used method for spike detection is testing when the current slope (first derivative) exceeds a threshold (DT method). The DT method is sensitive to the selection of both the low-pass filter settings and the threshold. A second method is to scan the data set with one or more prototype spike templates while performing a least-squares fit to find the amplitude and standard error of the fit at each time point. A spike is identified when the ratio of the fit amplitude to the standard error exceeds a threshold (CB method). This method is not as sensitive to filter settings or threshold but is sensitive to the choice of template(s). Finally, we tested a new approach (DLS method) that is similar to the CB method but performs a least-square fit of the sum of two templates consisting of faster and slower exponential decays. Receiver Operator Characteristic plots demonstrate that the DT method fails to detect slower spikes without generating significant false positives. The CB method also fails to detect some spikes manually identified when using up to three templates. On the other hand, the DLS method detected a much wider range of spike types with the use of only two spike templates. We conclude that the DLS method enables detection of a large variety of spikes without excessive computational cost. Supported by NIH R43MH96650." @default.
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- W1969734808 date "2014-01-01" @default.
- W1969734808 modified "2023-09-29" @default.
- W1969734808 title "Comparison of Three Algorithms for Detection of Amperometric Spikes Resulting from Quantal Exocytosis" @default.
- W1969734808 doi "https://doi.org/10.1016/j.bpj.2013.11.2930" @default.
- W1969734808 hasPublicationYear "2014" @default.
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