Semi-automatic tracking of white blood cell motion in microscopy images

OData support
Supervisor:
Dr. Csorba Kristóf
Department of Automation and Applied Informatics

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

ChemoTracker.

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.

Downloads

Please sign in to download the files of this thesis.