The aim of this project is to develop methods which detect and remove starburst artifacts from immunohistochemically stained post-mortem human brain tissue images. 

•Semi-Automated Neuropathological Analysis (SANA) is a toolkit currently in development, which allows for the efficient analysis of post-mortem human brain tissue. It provides predictive models for semi-automatic segmentation of objects such as neurons, plaques, and tangles, as well as various modules which measure the degree of pathology or the amount of degeneration in the cytoarchitecture. 

•However, artifacts in the tissue afflict the accuracy of these predictive models and cause inaccuracies in the measurements of pathology and/or degeneration.

•Detecting starburst artifacts in neuropathological tissue is an important step in the development of the SANA toolkit.