Research Papers: Sensing

Optical diagnosis of malaria infection in human plasma using Raman spectroscopy

[+] Author Affiliations
Muhammad Bilal, Muhammad Saleem, Rashad Rashid, Arshad Mahmood, Mushtaq Ahmed

National Institute of Lasers and Optronics, Lehtrar Road, Islamabad 45650, Pakistan

Samina Tufail Amanat, Huma Abdul Shakoor

PAEC General Hospital, Pathology Department, H-11/4 Islamabad 44000, Pakistan

J. Biomed. Opt. 20(1), 017002 (Jan 14, 2015). doi:10.1117/1.JBO.20.1.017002
History: Received August 22, 2014; Accepted December 17, 2014
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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.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Muhammad Bilal ; Muhammad Saleem ; Samina Tufail Amanat ; Huma Abdul Shakoor ; Rashad Rashid, et al.
"Optical diagnosis of malaria infection in human plasma using Raman spectroscopy", J. Biomed. Opt. 20(1), 017002 (Jan 14, 2015). ; http://dx.doi.org/10.1117/1.JBO.20.1.017002


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