  Segmentations are often necessary for the analysis of image data. They are
used to identify different objects, for example cell nuclei, mitochondria, or
complete cells in microscopic images. There might be features in the data, that
cannot be detected by segmentation approaches directly, because they are not
characterized by their texture of boundaries, which are properties most
segmentation techniques rely on, but morphologically. In this report we will
introduce our algorithm for the extraction of suchlike morphological features
of segmented objects from segmentations of neuromuscular junctions and its
interface for informed parameter tuning.
