Machine learning-assisted single-cell Raman fingerprinting for in situ and nondestructive classification of prokaryotes

Machine learning-assisted single-cell Raman fingerprinting for in situ and nondestructive classification of prokaryotes

Summary: Accessing enormous uncultivated microorganisms (microbial dark matter) in various Earth environments requires accurate, nondestructive classification, and molecular understanding of the microorganisms in in situ and at the single-cell level. Here we demonstrate a combined approach of random...

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Bibliographic Details
Main Authors: Nanako Kanno, Shingo Kato, Moriya Ohkuma, Motomu Matsui, Wataru Iwasaki, Shinsuke Shigeto
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:iScience
Subjects:
Molecular spectroscopy techniques
Microbiology
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004221009433

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