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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...
Autores principales: | Kanno, Nanako, Kato, Shingo, Ohkuma, Moriya, Matsui, Motomu, Iwasaki, Wataru, Shigeto, Shinsuke |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
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 |
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