Nondestructive microbial discrimination using single-cell Raman spectra and random forest machine learning algorithm

Raman microspectroscopy is a powerful tool for obtaining biomolecular information from single microbial cells in a nondestructive manner. Here, we detail steps to discriminate prokaryotic species using single-cell Raman spectra acquisitions followed by data preprocessing and random forest model tuni...

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Detalles Bibliográficos
Autores principales: Kanno, Nanako, Kato, Shingo, Ohkuma, Moriya, Matsui, Motomu, Iwasaki, Wataru, Shigeto, Shinsuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641085/
https://www.ncbi.nlm.nih.gov/pubmed/36386892
http://dx.doi.org/10.1016/j.xpro.2022.101812

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641085/
https://www.ncbi.nlm.nih.gov/pubmed/36386892
http://dx.doi.org/10.1016/j.xpro.2022.101812

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