Jupyter notebook containing all the code used to make lateral diffusion coefficient measurements with the Fluorescence Correlation Spectroscopy (FCS) method at University of Los Andes without the need of third-party software.
The code contains the necessary functions to perform FCS just using the raw fluoresence measurements in a confocal volume (i.e. signal of one pixel in the region of interest).
For this code, we recommend doing at least 20 measurements in different samples in order to ensure low-noise lateral diffusion measurements. For the use of this code, just start from the first cell and keep going down until you calculate the diffusion coefficient. Additional comments can be found inside the notebook.
If you want to make comments/claims on this code, please write a message to je.sandovalg@uniandes.edu.co
If you find this code useful, the project where this code was first used can be found in https://repositorio.uniandes.edu.co/entities/publication/82905103-ca9a-43a6-9755-fcad45d23aff. Please cite us!
Happy coding!
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Python-based script used to analyze Fluorescence Correlation Spectroscopy (FCS) data for lateral diffusion coefficient measurements. Developed in the Biophysics laboratory at University of Los Andes, Colombia.
JeSandovalG/LateralDiffusionAnalysis_FCS
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Python-based script used to analyze Fluorescence Correlation Spectroscopy (FCS) data for lateral diffusion coefficient measurements. Developed in the Biophysics laboratory at University of Los Andes, Colombia.
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