Easy
Electrophysiology
Easy Electrophysiology is an integrated analysis environment including routines for curve fitting, post-synaptic event and action potential analyses, data resampling, filtering, detrending and more.
All analysis code is open source, so you know exactly what is happening to your data.
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High-performance interactive graphs permit convenient inspection and editing of results, with tabular data easily exported to .xlsx and .csv format. Analysis settings can be conveniently saved across sessions, while a 'Batch Mode' allows rapid sequential analysis convenient for the analysis of large datasets.
Please see below for data tools and analysis possibilities
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Electrophysiology data
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loads .ABF, AxonGraph, .WCP / .EDR, HEKA, WaveSurfer and Spike2 files
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Save all traces and results to .csv and .xlsx
Curve Fitting
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Interactive fitting windows for flexible baseline and fit-region specification
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Fit up to 6 curves on a record at once and fit across all records in one click
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Fitting of:
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Minimum, maximum, mean, median​
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Area under curve
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Max slope
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Monoexponential decay
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Biexponential decay
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Triexponential decay
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Biexponential 'Event' including event kinetic analysis
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Event Detection
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Generate and refine a template biexponential curve by fitting to your data
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Detect events with template-matching (with correlation, detection criterion or deconvoltuion methods) or peak-threshold algorithms
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Automated baseline and decay routines allow event detection robust to complex waveforms
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Convenient graphical interface for template fitting and manual event selection / rejection
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Specify amplitude and baseline thresholds as a:
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straight line
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polynomial curve
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RMS threshold
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draw by hand
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Automated event parameter calculation:
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Upsample to 200 kHz before parameter estimation
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rise times (specify low/high cutoff e.g. 10-90)
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thrise, decay, half width
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area under curve
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fit monoexponential, biexponentials to all events
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decay with amplitude % method
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Generate and plot cumulative probabilities / histograms
Action Potential Counting
- Automated action-potential (AP) detection algorithms.
- Specify a cut-off or use automatic detection of individual spikes.
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Calculation of:
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first-spike latency
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mean inter-spike interval
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spike-frequent accommodation (first / last spike division and local variance methods)
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​View and save peak times for every AP in the recording.
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Action Potential Kinetics
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Auto-detect or manually select spikes for kinetic analysis​
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Interpolate to 200 kHz sampling frequency before rise time and half-width analysis.
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Rise and decay time (user can input % cut-offs e.g. 10-90)
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Half width
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Multiple threshold-measurement methods, including:
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first and third derivative (specify a cut-off or take maximum), phase-space methods (Sekerli et al., 2004).
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Fast and medim after-hyperpolarisation (fAHP and mAHP).
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Phase plot analysis
Input Resistance (current clamp)
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Calculate current injection from data or input your own protocols​.
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Calculate input resistance as linear fit to ΔV / ΔI data
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Measure voltage sag or hump.
Data Tools
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Upsampling (cubic spline, linear or nearest-neighbour)
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Downsampling (with lowpass filtering)
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Filtering (bessel, butterworth)
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Detrending (linear, polynomial)
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Baseline removal
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Average across records
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Cut and edit record length
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Concatenate or reshape record number
Analysis Methods
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Conveniently view summary statistics of all analyzed parameters
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Kolmogorov-Smirnov analyses of data distributions
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Burst detection and analysis for Events and Action Potentials