============================================================================== The data is organized into folders containing the data used to produce each figure. The raw image data (50-150Gb per dataset) is available upon request (email: edo.kussell@nyu.edu or guil.lambert@gmail.com) ============================================================================== The contents of the compressed zip file is organized into folders having the following structure: ├── Fig# (The root folder contains the .py scripts used | | to process/generate the each figure panel) │   ├── Figure (This folder contains the figure pabels) │   ├── ProcessedData (Processed data, stored as plain text. This folder | | may be empty) │   └── RawDatafiles (Raw data, stored as plain text) ============================================================================== The data is processed using custom python scripts. Run each .py files at the root of each folder in order to process and plot the data. The analysis scripts included in each folder have the following dependencies: -numpy - http://numpy.scipy.org/ -scipy - http://scipy.org/ -OpenCV - http://opencv.willowgarage.com/wiki/ -matplotlib - http://matplotlib.org/ ============================================================================== calcOpticalFlowExample.py is an example of the script used to process and analyze the image files. ==============================================================================