pytcspc: analysis of time-correlated single photon counting (TCSPC) data

This python library can be used for analyzing time-domain fluorescence lifetime imaging microscopy (FLIM) data and fluorescence correlation spectroscopy (FCS) data collected with TCSPC hardware.

Installing

Please see INSTALLATION.md.

Functions

FLIM

• read Becker & Hickl .sdt files (based on sdtfile) into user-friendly xarray.DataArrays suitable for further analysis
• produce intensity and lifetime images
• fit decay curves to multiexponential models using least-squares or Gibbs sampling approaches

FCS

• read Becker & Hickl .spc files into user-friendly xarray.DataArrays suitable for further analysis
• generate FLIM and intensity images and "videos"
• generate kymographs for line-scanning FCS
• calculate correlation functions (based on multipletau)

examples

• FCS: fit FCS data for diffusion of Alexa Fluor 488
• fit_oneexp: fit decay curve for a solution of FAD
• fit_from_image: fit decay curve for NAD(P)H in yeast
• Gibbssampling: fit a polyexp model using least-squares regression and a biexponential model using Gibbs sampling

Contributing

Please see CONTRIBUTING.md.