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Accurate Raman-based Classification through Regularization

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Abstract

34/35 words Raman spectroscopy allows studying live biological samples through their intracellular molecular content. We employ machine learning to derive reliable classification features based on a regularization approach that enables biological interpretation.

© 2021 The Author(s)

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