首页|Data from University of Georgia Advance Knowledge in Machine Learning (Precision Classification and Quantitative Analysis of Bacteria Biomarkers Via Surface-enh anced Raman Spectroscopy and Machine Learning)
Data from University of Georgia Advance Knowledge in Machine Learning (Precision Classification and Quantitative Analysis of Bacteria Biomarkers Via Surface-enh anced Raman Spectroscopy and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingfrom Athens, Georgia, by NewsRx jou rnalists, research stated, “The SERS spectra of six bacterialbiomarkers, 2,3-DH BA, 2,5-DHBA, Pyocyanin, lipoteichoic acid (LTA), Enterobactin, and beta-caroten e,of various concentrations, were obtained from silver nanorod array substrates , and the spectral peaks andthe corresponding vibrational modes were identified to classify different spectra. The spectral variationsin three different conce ntration regions due to various reasons have imposed a challenge to use classiccalibration curve methods to quantify the concentration of biomarkers.”
AthensGeorgiaUnited StatesNorth an d Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Georgia
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