Cell motion tracking in microscopy images

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

White blood cells play a vital role in the human body’s immune response and other pathological processes, that is why medical researchers examine their behavior under the effects of different enzymes and drugs. They take microscopy images of the cells’ movements, which they process digitally.

This thesis leads you through the development of a custom application that can track the cells in the images according to the researchers’ requirements. The application offers manual and semi-automatic tracking features through a straightforward user interface. The thesis justifies the selection of the used algorithms, followed by the description of the prototype and the final application.

The evaluation of the final application on real microscopy images shows that the automatic features significantly reduce the users’ work. In certain cases, it can provide valuable preliminary data for 10 % of the manual tracking’s effort. Moreover, the user interface does a great job in supporting the user scenarios that were defined in the requirements.

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