Investigating the influence of mechanical forces and biochemical signals on cancer invasion using image analysis, experimental testing, and data processing. Developing a software tool-box for classification and location prediction of yap (protein) in cell nucleus and cytoplasm. The analysis of yap locations will be conducted based on a convoluted neural network algorithm to determine the locations of yap from a brightfield and/or fluorescent image converted into a grayscale matrix. The toolbox testing process will be iterative and enable minimal user interference to test image samples.