IFT injection frequency distributions

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.

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