Ratiometric FRET

Version 1.1.0.0 (3.58 MB) by Jakub Nedbal
Data analysis code and example datasets for ratiometric FRET analysis
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Updated 17 Aug 2015
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"Ratiometric FRET" submission contains all code necessary for the ratiometric analysis of FRET efficiency based on the measurement of fluorescence intensities from fluorescent protein based FRET standards. The example files are included and can be exchanged for a complete set of new ones.
Voltage-2_PC-DNA.fcs : Control cells transfected with empty plasmid for background subtraction.
Voltage-2_gfp.fcs : Control cells transfected with FRET donor only (GFP) for bleed-through correction.
Voltage-2_rfp.fcs : Control cells transfected with FRET acceptor only (RFP) for bleed-through correction.
Voltage-2_7aa.fcs : Cells transfected with FRET standard featuring 7 aminoacid linker.
Voltage-2_19aa.fcs : Cells transfected with FRET standard featuring 7 aminoacid linker.
Voltage-2_32aa.fcs : Cells transfected with FRET standard featuring 7 aminoacid linker.
A minimum of two different FRET standard samples are required.

Acknowledgements: This repository contains code from

FCS data reader, by Laszlo Balkay (https://www.mathworks.com/matlabcentral/fileexchange/9608-fcs-data-reader)
Flow Cytometry Data Reader and Visualization, by Robert Henson (https://www.mathworks.com/matlabcentral/fileexchange/8430-flow-cytometry-data-reader-and-visualization)

Distributed under the BSD license Jakub Nedbal, 2014 King's College London

Cite As

Jakub Nedbal (2024). Ratiometric FRET (https://github.com/jnedbal/ratiometric-fret), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2013b
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.1.0.0

Added image.
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.