**A Bacteria Segmentation/Tracking Tool based on Machine Learning** ------------------------------------------------------------------- Heather Deter1, Marta Dies2, Courtney C. Cameron1, Nicholas C. Butzin1, and Javier Buceta2,3 1Biology and Microbiology Department, South Dakota State University, SDS 225E, Box 2104A, Brookings, SD 57007, USA 2Chemical and Biomolecular Engineering Department, Lehigh University, Iacocca Hall, 111 Research Dr., Bethlehem, PA 18015, USA 3Bioengineering Department, Lehigh University, Iacocca Hall, 111 Research Dr., Bethlehem, PA 18015, USA ---------- **About:** Datasets, Demo Videos, and Python and ImageJ scripts designed to track single cells, determine cell lineage and analyze fluorescence The purpose of this project is to provide a number of tools for cell-tracking and image analysis. These tools consist of a number of scripts that utilize preexisting open-source software (Fiji ImageJ, Anaconda 2.7, and related packages) included here and available online (https://www.anaconda.com/download/, https://imagej.net/Fiji/Downloads). A detailed method for using these tools will be published in Methods in Molecular Biology (Springer, Deter et al. 2018).