Osteoclasts are cells specialized for breaking down bone tissue, whose formation is being examined by current medical researches. Researchers at Semmelweis University developed a new method that allows the dynamic observation of this evolution. During the process, microscopic images are continuously taken from the cells, the analysis of which is one of the most important steps in the workflow.
The aim of my Master’s thesis is to create a software for the participants of the research, which is capable of automating and accelerating the image processing process as much as possible. It includes the creation of different statistics, and the recognition of cells in the images. An important requirement for the application is to be ergonomic and intuitively usable, since the users will approach it from a medical point of view.
The application is built on the .NET based cv4sensorhub framework, which is being developed by the Department of Automation and Applied Informatics. My software is written in C# programming language, the user interface was evolved with WPF and I used the OpenCV library for complex image processing operations.