Raman microspectroscopy and machine learning for use in identifying radiation-induced lung toxicity

OBJECTIVE: In this work, we explore and develop a method that uses Raman spectroscopy to measure and differentiate radiation induced toxicity in murine lungs with the goal of setting the foundation for a predictive disease model. METHODS: Analysis of Raman tissue data is achieved through a combinati...

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Detalles Bibliográficos
Autores principales: Ali-Adeeb, Ramie N., Shreeves, Phil, Deng, Xinchen, Milligan, Kirsty, Brolo, Alex G., Lum, Jullian J., Haston, Christina, Andrews, Jeffrey L., Jirasek, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803148/
https://www.ncbi.nlm.nih.gov/pubmed/36584158
http://dx.doi.org/10.1371/journal.pone.0279739

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803148/
https://www.ncbi.nlm.nih.gov/pubmed/36584158
http://dx.doi.org/10.1371/journal.pone.0279739

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