This example will further explore using VivoScript libraries by adding three more functions and then dive into co-registering two images (using one of these functions) and applying some a image arithmetic, in this case calculating the relative difference.
Histogram based auto-thresholding (based on Otsu’s algorithm) is a great way to automatically segment two Gaussian distributions of values, e.g. background vs. animal. In this post we are looking into automating this process and placing the segmentation function into a library file so it can be reused in other scripts.
In this section we are having a look at how to extract meta information from studies in a project and writing them to a local text file. The looping through all studies of a project is described in Part I of this introduction.