RSDB-CPB

Raman spectral features are generated by molecular vibrations in the sample, which makes Raman spectroscopy a convenient tool for characterizing biological systems. Due to the low-cost, label-free, and non-destructive features, Raman spectroscopy has been widely studied in terms of the identification of bacterial pathogens. Through advanced statistical methods, fast and reliable identification of bacterial pathogens could be achieved because Raman spectral pattern uniquely reflects the composition and structure of different bacteria. However, in order to apply a variety of machine learning algorithms on these Raman spectra, standardized Raman spectral database for pathogenic bacteria is a very important basis. Thereafter, our team constructed the Raman Spectroscopy Database for Clinical Pathogenic Bacteria (RSDB-CPB), a manually-curated and regularly updated web server containing an integrated set of Raman spectra for important pathogenic bacteria frequently encountered in clinical..