Data for Image based modeling of bleb site selection

Thus our model provides a means of dissecting out the role of physical forces in controlling where blebs form, and shows that in certain circumstances they could be the major determining factor.<br><br>We include all the raw image data and QuimP analysis used in the paper. Data is subdivided into folders according to percentage of agarose overlay used (either 2% or 0pt7%), each dataset is then further subdivided into folders for individual cells analysed.

QuimP file types: -Parameter files (.paQP) Store segmentation parameters, frame rate, scale and pixel size -Snake contour data (.snQP) Segmentation infro: Node positions, Node speed between frames, fluorescence intensity for each channel, x and y coordinates where fluorescence was sampled along the contour -Frame statistics (.stQP) Statistics for each frame rather than for individual nodes -Map files (.maQP) Motility map of node speeds over time, convexity map of curvature over time, Fluorescence maps of cortical fluorescence over time -Scalable vector graphics output (.svg) Cell track showing cell outlines for all time frames overlayed