In the previous semesters at the Department of Automation and Applied
Informatics there has been developed an application that aids white blood cell tracking in
microscopy images with the help of image processing techniques. This application is
Measurement of the vividness and the movement of the cells is essential for the
research of the immune response of the body. Research in this area is about examining
the change of the cells’ behaviour caused by certain chemical agents or other factors. The
ChemoTracker application provides software support for these researches. In this MSc
thesis, I am going to extend this application.
By further developing ChemoTracker, I aim to make it be able to perform its tasks
more efficiently in the research. The developments affect the application at several points.
The new features are the semi-automatic cell tracking, and a more precise way to
configure cell detection, thus increasing the efficiency of the automatic cell tracking. The
thesis also includes the design and implementation of an evaluation module to objectively
determine the accuracy of a cell tracking method.