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Fig. 1 | eLight

Fig. 1

From: Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning

Fig. 1

The workflow diagram of SERS-AICS. A drop of 15 µl serum was used for label-free SERS spectrum detection by Ag NWs. After dimensionality reduction of covariance matrix of high-dimensional serum spectral data, cancer related dimension database of bond level can be obtained. The subsequent support vector machine algorithm not only carries out accurate pan-cancer screening for five kinds of cancers with high mortality, but also achieves the identification between early-stage cancers and common diseases

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