An article recently accepted for publication in Journal of Stress describes a novel algorithm and software developed by LTU student Saundra Manning with the assistance of LTU faculty. The software scans through thousands of microscopy images and identifies “peculiar” cells – cells that are different from the “normal” cells. The use of the software is for analyzing data acquired by robotic microscopes that can image hundred thousands of cells in a single day, making it practically impossible to analyze the data manually. One of the advantages of the software is its generality, and its ability to adjust itself automatically to analyze different types of data. The software has a broad range of application in science, as well as public health such as food control and outbreak prevention (where the detection of unknown pathogens is critical for the early identification of potential outbreak risks).