Matlab functions to analyze iGluSnFR signals from single synapses
These matlab files were used to perform a quantal analyis on iGluSnFR data from Schaffer collateral boutons (Dürst et al., 2020).
System requirements
Personal computer (e.g. Intel Core i5-8500 CPU, 16 GB RAM) Windows 10 Matlab R2017b
Installation guide
- Download the .m files into a folder
- Include the folder in your matlab path
Demo
To load the provided demo data, type into the command line: BinoFit_LowHighCa(demodata, 1)
Instructions for use
BinoFit_LowHighCa(mydata, experiment) is designed to analyze data from boutons imaged under 2 conditions (high/low Ca2+).
mydata is a matlab array, organized in 4 colums per bouton:
- low Ca responses 2) no stim 3) high Ca responses 4) no stim
'responses' refer to the extracted peak of the iGluSnFR trace, 'no stim' is the amplitude of a fit to a section of the baseline fluorescence (before stimulation)
The 'experiment' variable allows loading data from individual boutons in large datasets containting datat from multiple boutons (in separate columns). experiment=1 analyzes the first 4 columns (data from bouton #1) experiment=2 analyzes column 5-8 (data from bouton #2), etc.
Created by Thomas Oertner, ZMNH Hamburg, Jan 2020