T-cells play a critical role in preventing the proliferation of anomalous cells that may become carcinogenic. A better mathematical or biological understanding of T lymphocytes would bring us closer to curing or even preventing diseases such as cancer. This thesis focuses on analyzing real data related to T-cell movement. The living cells were placed into a micro-well and recorded using a spinning disk confocal laser microscope. The raw images were then processed with a program called DeepKymoTracker, which produces numerical data of interest. The results of the data analysis, including statistical examination and comparisons with simple model simulations, clarify key aspects of the cells' motility.