Label-Free Differentiation of Cancer and Non-Cancer Cells Based on Machine-Learning-Algorithm-Assisted Fast Raman Imaging

This paper proposes a rapid, label-free, and non-invasive approach for identifying murine cancer cells (B16F10 melanoma cancer cells) from non-cancer cells (C2C12 muscle cells) using machine-learning-assisted Raman spectroscopic imaging. Through quick Raman spectroscopic imaging, a hyperspectral dat...

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Detalles Bibliográficos
Autores principales: He, Qing, Yang, Wen, Luo, Weiquan, Wilhelm, Stefan, Weng, Binbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031282/
https://www.ncbi.nlm.nih.gov/pubmed/35448310
http://dx.doi.org/10.3390/bios12040250

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031282/
https://www.ncbi.nlm.nih.gov/pubmed/35448310
http://dx.doi.org/10.3390/bios12040250

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