IFT injection frequency distributions

Requirements:

Python 3.X

KymographClear 2.0 ImageJ plugin

Kymograph Direct

1) Generate forward filtered kymographs from live imaging of fluorescently labelled IFT components using KymographClear 2.0 (https://sites.google.com/site/kymographanalysis/).

2) Import kymographs into Kymograph Direct (https://sites.google.com/site/kymographanalysis/) to automatically detect trajectories. Save ‘Particle Coordinates’ of the detected trajectories as a txt file.

3) Calculate the time lag between trajectories using: “Kymodata_analysis_allparticles_deltaT_calc_AF_CF_antero_F4.py” (https://github.com/shanemc11/Giardia_Flagella/blob/master/Kymodata_analysis_allparticles_deltaT_calc_AF_CF_antero_F4.py) and save the timelag data to a csv file.

4) Run: “Kymodata_analysis_allparticles_frequency_distributions_curvefitting_AF_PF_CF_antero_F4.py”

(https://github.com/shanemc11/Giardia_Flagella/blob/master/Kymodata_analysis_allparticles_frequency_distributions_curvefitting_AF_PF_CF_antero_F4.py) to fit the calculated time lags to a single exponential and output the time constant and other parameters.