Analysis of hepatitis B virus infection in blood sera using Raman spectroscopy and machine learning

Published 2018

Ashfaque Khan Scientist, Propulsion Division, CSIR - NAL, Bangalore

Asifullah Khan Department of Computer and Information Sciences, PIEAS, Pakistan

Ali Nawaz Khan Professor/Consultant Radiologist

Dr. Muhammad Bilal National Institute of Lasers and Optronics, Nilore, Islamabad, Pakistan

DOI: 10.1016/j.pdpdt.2018.05.010

Abstract:

This study presents the analysis of hepatitis B virus (HBV) infection in human blood serum using Raman spectroscopy combined with pattern recognition technique. In total, 119 confirmed samples of HBV infected sera, collected from Pakistan Atomic Energy Commission (PAEC) general hospital have been used for the current analysis. The differences between normal and HBV infected samples have been evaluated using support vector machine (SVM) algorithm. SVM model with two different kernels ie polynomial...

Excerpt:

All the Raman spectra were acquired from the surface of the serum droplet using Raman system (Peak Seeker PRO - 785). The system consists of inbuilt diode laser emitting light at 785 nm, coupled with inverted microscope ( RSM - 785, Agiltron, USA). In contrast to 532 nm, the fluorescence signal decreases prominently for 785 nm laser, making detection of the weak Raman signal easier...