Cilia density and flow velocity affect alignment of motile cilia from brain cells

Here we store video and code used for the publication Cilia density and flow velocity affect alignment of motile cilia from brain cells. We provide raw images and codes to support the article.The complete dataset of raw images is more than 1 Tb. Here we are limited to 50Gb. The full dataset is available upon request. We choose to provide a full dataset of two culture at DIV 16, one treated with shear flow and a control without flow. For each of the two cultures, the videos with propelled particles are in the directory FL, The bright field images without particles are stored in BF. Unfortunately we uploaded only few videos because of their large size. The results of the analysis of this dataset is reported in the directory analysis (available for each culture). Moreover we provide the code to analyse these data. The analysis routine: Step 1: for each field of view (fov) getting the cilia beating direction from the FL images. This is done with PIV. The code is Step1_PIVanalysis.mat Step 2: for each fov getting ciliated cell position and CBF from the BF movies. Gather the cilia beating direction and cilia posion and frequency in a unique figure and matlab class (Res.mat). This is done in Step2_gatherResults.mat The results of these analysis are stored in the analysis folder for each culture. These routines are repeated for each experiment and results are then plotted to get trends. In the folder code4figures we report the code that we used to make the figures in the papers starting from a matlab file "all_results*.mat", where are gathered all the analysis. The code may improve in the future with more comments. please check Nicola's github page for the latest update. Please contact us for any problem. https://github.com/NicolaPellicciotta/Code4-Cilia-density-and-flow-velocity-affect-alignment-of-motile-cilia-from-brain-cells All the raw videos and code are in the archive