Raman spectroscopy and artificial intelligence open up accurate detection of pathogens from DNA‐based sub‐species level classification
Abstract
Genomic deoxyribounucleic acid (DNA) extracted from Brucella and Bacillus genera including Bacillus anthracis was investigated for the first time using Raman spectroscopy coupled with deep learning technique. Since DNA sequence is unique and independent of growth phases of bacteria, Raman spectroscopy can be a potential molecular diagnostic tool to identify different pathogens. Additionally, pure cellular components such as DNA provide pure...
Paper Details
Title
Raman spectroscopy and artificial intelligence open up accurate detection of pathogens from DNA‐based sub‐species level classification
Published Date
May 5, 2021
Volume
52
Issue
12
Pages
2648 - 2659
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