Optical Identification of Plasmodium falciparum Malarial Byproduct for Parasite Density Estimation
| Autor: | Jerry Opoku-Ansah, Charles Lloyd Yeboah Amuah, Johnson Nyarko Boampong, R. Edziah, Peter Osei-Wusu Adueming, Moses J. Eghan, Benjamin Anderson |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Article Subject
biology Chemistry Hemozoin 030231 tropical medicine Multispectral image Plasmodium falciparum biology.organism_classification 01 natural sciences Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials 010309 optics 03 medical and health sciences 0302 clinical medicine Nuclear magnetic resonance Blood smear 0103 physical sciences parasitic diseases lcsh:QC350-467 Optical identification After treatment Parasite density lcsh:Optics. Light |
| Zdroj: | International Journal of Optics, Vol 2019 (2019) |
| ISSN: | 1687-9392 1687-9384 |
| Popis: | Plasmodium falciparum (P. falciparum) malarial degree of infection, termed as parasite density (PD), estimation is vital for point-of-care diagnosis and treatment of the disease. In this work, we present application of optical techniques: optical absorption and multispectral imaging for P. falciparum malarial byproduct (hemozoin) detection in human‐infected blood samples to estimate PD. The blood samples were collected from volunteers who were tested positive for P. falciparum infections (i-blood), and after treatment, another set of blood samples (u-blood) were also taken. The i-blood samples were grouped based on PD (+, ++, +++, and ++++). Optical densities (ODs) of u-blood samples and i-blood samples at blood absorption bands of 405 nm, 541 nm, and 577 nm showed different optical absorption characteristics. Empirical computation of ratio of the ODs for the blood absorption bands revealed reduction in the ODs with increasing PD. Multispectral images containing uninfected red blood cells (u-RBCs) and P. falciparum‐infected red blood cells (i-RBCs) on unstained blood smear slides exhibited spectrally determined decrease in both reflected and scattered pixel intensities and increase in transmitted pixel intensities with increasing PD. We further propose a linear classification model based on Fisher’s approach using reflected, scattered, and transmitted pixel intensities for easy and inexpensive estimation of PD as an alternative to manual estimation of PD, currently, the widely used technique. Application of the optical techniques and the proposed linear classification model are therefore recommended for improved malaria diagnosis and therapy. |
| Databáze: | OpenAIRE |
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