作者: Israel Gannot , Gallya Gannot , Hassan Moinuddin , Dror Lederman
DOI:
关键词: Scattering 、 Multimodal analysis 、 Principal component analysis 、 Spectroscopic detection 、 Data set 、 Biological system 、 Biomedical engineering 、 Microorganism 、 Sample (graphics) 、 Spectrum analyzer 、 Biology
摘要: A spectroscopic method for detection and identification of bacteria in culture is disclosed. The incorporates construction at least one data set, which may be a spectrum, interference pattern, or scattering from cultured sample suspected containing said bacteria. set corrected the presence water sample, spectral features are extracted using principal components analysis, classified learning algorithm. In some embodiments invention, example, to differentiate MRS MSSA, multimodal analysis performed made based on spectrum an pattern used determine cell wall thickness, roughness. An apparatus performing also disclosed, embodiment multiple analyzer.