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<h2><strong>A Bacteria Segmentation/Tracking Tool based on Machine Learning</strong></h2> <p>Heather Deter1, Marta Dies2, Courtney C. Cameron1, Nicholas C. Butzin1, and Javier Buceta2,3</p> <p>1Biology and Microbiology Department, South Dakota State University, SDS 225E, Box 2104A, Brookings, SD 57007, USA</p> <p>2Chemical and Biomolecular Engineering Department, Lehigh University, Iacocca Hall, 111 Research Dr., Bethlehem, PA 18015, USA</p> <p>3Bioengineering Department, Lehigh University, Iacocca Hall, 111 Research Dr., Bethlehem, PA 18015, USA</p> <hr> <p><strong>About:</strong> Datasets, Demo Videos, and Python and ImageJ scripts designed to track single cells, determine cell lineage and analyze fluorescence</p> <p>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 (<a href="https://www.anaconda.com/download/" rel="nofollow">https://www.anaconda.com/download/</a>, <a href="https://imagej.net/Fiji/Downloads" rel="nofollow">https://imagej.net/Fiji/Downloads</a>).</p> <p>A detailed method for using these tools will be published in Methods in Molecular Biology (Springer, Deter et al. 2018).</p>
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