Spreading of cancer cells to distant organs is the main cause of all cancer-related mortalities, while early and accurate prediction of tumor cell fate can significantly impact treatment protocols and survival rates. In the Weihs laboratory a phenomenon was observed, where invasive cancer cells can infiltrate the surface of synthetic polyacrylamide gels, while normal cells have minimal to no indentation in the gels surface. Estimating such invasiveness of cells manually by lab expert is time and resource consuming.
This project aims to predict the depth of each individual cell based on an image of the gels surface in order to estimate cell invasiveness. Although the project didn't achieve its purpose, it did provided a starting point and tools for future projects, while also opening some few suggestions for achieving the proposed goal using advanced methods which are discussed at the end of the report.