1. Extract objects from the image

Performed by: ExtractObjects_fromImage_BATCH.m

Input: This assumes that Super-resolution images are already reconstructed and present in a folder or multiple folder.

Paramaters: This can perform thresholding in sizes and intensity at both the Otsu thresholding steps and at the Active contour step. Number of iteration and smooth factor for active contour can be set.

Output: The code saves a labelled image (as defined by matlab) where the masks of each individual particle is labelled from 1 to N (N being the number of particles in the image). A second output for visualisation is saved as the "uber-image". It is a multi panel image showing all particles in order with their masks.