Quantitative non-invasive cell characterisation and discrimination based on multispectral autofluorescence features
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Researchers are exploring non-invasive methods for characterizing and discriminating cells using multispectral autofluorescence features. These methods are being applied to various types of cells, including kidney cells, articular cartilage tissue, and neural cells. The approaches being studied include hyperspectral imaging, machine learning, and spectroscopy to identify and classify cells without labels.
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