Researchers have developed a new method that reveals the unique fluorescence patterns produced by individual cells in mixtures of bacteria, yeast and fungi. They combined confocal microscopy with micro-spectroscopy to determine the fluorescence signatures from different types of microbes. They trained machine learning systems to analyze the images and identify different individual cells and cell-types automatically, even those with very similar shapes and sizes.
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