Macro_Spatial_Dispersion

Given a set of isotropic, equidimensional binary stacks of squared images, this ImageJ macro calculates the number of cycles of rhombicubocthedric dilation necessary to fill 90%, 95% and 99% of each volume on the basis of the distribution of the black pixels. The macro asks for a source folder containing a set of subfolders (mandatory) containing binary image stacks (.tif files) with equal dimensions. The procedure is iterated over the nested folders for all the images present in every folder. The results are saved in a target location, choosed by the operator, as a number of .txt result files - one for each subfolder - named after the source subfolders. Results are expressed as raw values (Hv) which are normalized, subfolder after subfolder, according to the highest percentual volume observed in each subfolder to give nHv results. To normalize all subfolders in a single run, the image presenting the highest percentual volume should be present in all subfolders. This macro has been validated against simple images manually dilated. This version analyzes all .tif stacks present in nested folders. It behaves alike the accompanying ImageJ plugin but it is at least an order of magnitude slower. Its function was essentially that of validating the results obtained with the plugin