Ghost cytometry is a technique for discrimination of cells by applying structured illumination consisting of multiple micro-spots (0.8um) and machine learning. We have developed a benchtop type device that adds ghost cytometry capabilities to our conventional flow cytometry system and evaluated cell models, showing that our new device enables label-free classification of cell types that cannot be classified by conventional flow cytometry. We will present and discuss the results of cell classification using our hybrid ghost cytometer enabling detailed and high-throughput cell analysis, and the new diagnostic value that ghost cytometry brings.
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