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Journal of Biomedical Optics

Optical diagnosis of malaria infection in human plasma using Raman spectroscopy
Author(s): Muhammad Bilal; Muhammad Saleem; Samina Tufail Amanat; Huma Abdul Shakoor; Rashad Rashid; Arshad Mahmood; Mushtaq Ahmed
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Paper Abstract

We present the prediction of malaria infection in human plasma using Raman spectroscopy. Raman spectra of malaria-infected samples are compared with those of healthy and dengue virus infected ones for disease recognition. Raman spectra were acquired using a laser at 532 nm as an excitation source and 10 distinct spectral signatures that statistically differentiated malaria from healthy and dengue-infected cases were found. A multivariate regression model has been developed that utilized Raman spectra of 20 malaria-infected, 10 non-malarial with fever, 10 healthy, and 6 dengue-infected samples to optically predict the malaria infection. The model yields the correlation coefficient r2 value of 0.981 between the predicted values and clinically known results of trainee samples, and the root mean square error in cross validation was found to be 0.09; both these parameters validated the model. The model was further blindly tested for 30 unknown suspected samples and found to be 86% accurate compared with the clinical results, with the inaccuracy due to three samples which were predicted in the gray region. Standard deviation and root mean square error in prediction for unknown samples were found to be 0.150 and 0.149, which are accepted for the clinical validation of the model.

Paper Details

Date Published: 14 January 2015
PDF: 8 pages
J. Biomed. Opt. 20(1) 017002 doi: 10.1117/1.JBO.20.1.017002
Published in: Journal of Biomedical Optics Volume 20, Issue 1
Show Author Affiliations
Muhammad Bilal, National Institute of Lasers & Optronics (Pakistan)
Muhammad Saleem, National Institute of Lasers & Optronics (Pakistan)
Samina Tufail Amanat, Pakistan Atomic Energy Commission General Hospital (Pakistan)
Huma Abdul Shakoor, Pakistan Atomic Energy Commission General Hospital (Pakistan)
Rashad Rashid, National Institute of Lasers & Optronics (Pakistan)
Arshad Mahmood, National Institute of Lasers & Optronics (Pakistan)
Mushtaq Ahmed, National Institute of Lasers & Optronics (Pakistan)


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