Average Sweep Analysis Tool: Automated Gaussian-Filtered Sweep Averaging from ABF Files [Computer software]

Abstract

OVERVIEW The Average Sweep Analysis Tool for ABF Files is a standalone scientific software application developed for the processing and analysis of electrophysiological recordings stored in Axon Binary Format (.abf). The software performs automated sweep extraction, frequency-domain Gaussian low-pass filtering, and computation of the mean waveform across all sweeps contained in one or multiple ABF files within a selected directory. It applies a Gaussian low-pass filter to each individual sweep before averaging, allowing improved signal-to-noise ratio while preserving waveform structure. It is designed for researchers working with repeated electrophysiological recordings who need: - Automated batch processing - Noise reduction through sweep-by-sweep filtering - Visualization of trial-to-trial variability - A representative mean response - Exportable averaged data for further analysis The application has been compiled into a distributable Windows executable and does not require a Python installation or additional dependencies on the user’s system.