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David Maconochie

A data analysis suite, incorporating the exponential fitting routine DELP. DELP is an algorithm for obtaining a very fast fit of a sum of exponentials. It works on the principle that a sum of exponentials is a solution of a linear homogeneous differential equation with constant coefficients. DELP algorithm due to Dr J Martin, Dept Physics, Kings College, Strand, LONDON WC2R 2LS, and implemented by David J Maconochie. Reference: Martin, Maconochie and Knight (1994), J Neurosci Meth Jan 1994 V51 P135-146.

The following features are available
*) averaging, with automatic and manual alignment
*) very fast multi-exponential fitting
*) laser printer output with some editing facilities
*) multiple display and plotting windows
*) contents of file and files in a directory plotted automatically
*) automatic trace by trace subtraction for
i) response-control
ii) transient and leak subtraction
*) calculation of mean, minimum and maximum values
*) filters: analogue, non-causal, Savitsky Golay, Wiener
*) digital differentiation and integration
*) Fast Fourier Transforms, power spectra with averaging and smoothing
*) Editing of data files
*) Detection of events: single channel, synaptic etc
*) Ohmic series resistance compensation
*) Transformation by log, power, multiply
*) clampex, sigav and generic files types supported (up to a point)
*) data arrays of up to 32,000 points

(modified from the documentation)

Download [395 KB].

Look at the readme file from the program.