||Live cell experiments pave way to understand the complex biological functions of living organisms. Most live cell experiments require monitoring of cells under different conditions over several generations. The biological experiments display wide variations even performed under similar conditions, so they need to be studied on a large population over several generations to have statistically verifiable conclusions. Time-lapse images of such experiments usually generate large quantities of data, which become extremely difficult for human observers to evaluate. Thus automated systems are helpful to analyze such a dataset and get valuable inference from the experiment. In this work, we segment and track E.coli bacteria cells over time. We developed a novel segmentation method, which is fast and robust in delineating bacterial cells in phase contrast microscopy images. This work will be presented during the seminar.