The paper presents an analysis of the Raman spectra of mouse preimplantation embryos using machine learning for visualization, assessing the separability of classes, and highlighting informative areas of the spectrum. Separation of lipid reach areas and nucleus spectra was shown by principal component analysis coupled with a linear support vector machine.
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