DOI: 10.1364/boe.9.002041
Abstract:
This work presents a diagnostic system for the hepatitis C infection using Raman spectroscopy and proximity based classification. The proposed method exploits transformed Raman spectra using the proximity based machine learning technique and is denoted as RS-PCA-Prox. First, Raman spectral data is baseline corrected by subtracting noise and low intensity background. After this, a feature transformation of Raman spectra is adopted, not only to reduce the feature's dimensionality but also to learn different deviations in Raman...
Excerpt:
Acquiring Raman spectra For the recording of Raman spectrum, the quantity of about 10 l blood serum of each sample is put on an aluminum substrate. Raman system (PeakSeeker Pro, Agiltron USA) has been used for recording of spectra. This system consists of laser sour ce coupled with the microscope emitting laser light at 785nm...