Insight into metastatic oral cancer tissue from novel analyses using FTIR spectroscopy and aperture IR-SNOM

A novel machine learning algorithm is shown to accurately discriminate between oral squamous cell carcinoma (OSCC) nodal metastases and surrounding lymphoid tissue on the basis of a single metric, the ratio of Fourier transform infrared (FTIR) absorption intensities at 1252 cm(−1) and 1285 cm(−1). T...

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Detalles Bibliográficos
Autores principales: Ellis, Barnaby G., Whitley, Conor A., Al Jedani, Safaa, Smith, Caroline I., Gunning, Philip J., Harrison, Paul, Unsworth, Paul, Gardner, Peter, Shaw, Richard J., Barrett, Steve D., Triantafyllou, Asterios, Risk, Janet M., Weightman, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311263/
https://www.ncbi.nlm.nih.gov/pubmed/34241603
http://dx.doi.org/10.1039/d1an00922b

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311263/
https://www.ncbi.nlm.nih.gov/pubmed/34241603
http://dx.doi.org/10.1039/d1an00922b

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