Malaria-Infected Red Blood Cell Analysis Through Optical and Biochemical Parameters Using the Transport of Intensity Equation and the Microscope's Optical Properties

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2019 Jul 13

PMID 31295927

Authors

Marcel Akpa Agnero

Kouakou Konan

Zan Guy Christian Stephane Tokou

Yao Taky Alvarez Kossonou

Bienvenue Sylvere Dion

Kenneth Amiga Kaduki

Jeremie Thouakesseh Zoueu

Affiliations

Soon will be listed here.

Abstract

The accuracy, reliability, speed and cost of the methods used for malaria diagnosis are key to the diseases' treatment and eventual eradication. However, improvement in any one of these requirements can lead to deterioration of the rest due to their interdependence. We propose an optical method that provides fast detection of malaria-infected red blood cells (RBCs) at a lower cost. The method is based on the combination of deconvolution, topography and three-dimensional (3D) refractive index reconstruction of the malaria-infected RBCs by use of the transport of intensity equation. Using our method, healthy RBCs were identified by their biconcave shape, quasi-uniform spatial distribution of their refractive indices and quasi-uniform concentration of hemoglobin. The values of these optical and biochemical parameters were found to be in agreement with the values reported in the literature. Results for the malaria-infected RBCs were significantly different from those of the healthy RBCs. The topography of the cells and their optical and biochemical parameters enabled identification of their stages of infection. This work introduces a significant method of analyzing malaria-infected RBCs at a lower cost and without the use of fluorescent labels for the parasites.

References

Magowan C, Brown J, Liang J, Heck J, Coppel R, Mohandas N . Intracellular structures of normal and aberrant Plasmodium falciparum malaria parasites imaged by soft x-ray microscopy. Proc Natl Acad Sci U S A. 1997; 94(12):6222-7. PMC: 21030. DOI: 10.1073/pnas.94.12.6222. View

Popescu G, Ikeda T, Dasari R, Feld M . Diffraction phase microscopy for quantifying cell structure and dynamics. Opt Lett. 2006; 31(6):775-7. DOI: 10.1364/ol.31.000775. View

Ikeda T, Popescu G, Dasari R, Feld M . Hilbert phase microscopy for investigating fast dynamics in transparent systems. Opt Lett. 2005; 30(10):1165-7. DOI: 10.1364/ol.30.001165. View

CRAIG M, Sharp B . Comparative evaluation of four techniques for the diagnosis of Plasmodium falciparum infections. Trans R Soc Trop Med Hyg. 1997; 91(3):279-82. DOI: 10.1016/s0035-9203(97)90074-2. View

Phillips K, Jacques S, McCarty O . Measurement of single cell refractive index, dry mass, volume, and density using a transillumination microscope. Phys Rev Lett. 2012; 109(11):118105. PMC: 3621783. DOI: 10.1103/PhysRevLett.109.118105. View

Waller L, Tian L, Barbastathis G . Transport of Intensity phase-amplitude imaging with higher order intensity derivatives. Opt Express. 2010; 18(12):12552-61. DOI: 10.1364/OE.18.012552. View

Suwanarusk R, Cooke B, Dondorp A, Silamut K, Sattabongkot J, White N . The deformability of red blood cells parasitized by Plasmodium falciparum and P. vivax. J Infect Dis. 2004; 189(2):190-4. DOI: 10.1086/380468. View

Dabo-Niang S, Zoueu J . Combining kriging, multispectral and multimodal microscopy to resolve malaria-infected erythrocyte contents. J Microsc. 2012; 247(3):240-51. DOI: 10.1111/j.1365-2818.2012.03637.x. View

Tycko D, Metz M, Epstein E, Grinbaum A . Flow-cytometric light scattering measurement of red blood cell volume and hemoglobin concentration. Appl Opt. 1985; 24(9):1355. DOI: 10.1364/ao.24.001355. View

10.

Wang Z, Tangella K, Balla A, Popescu G . Tissue refractive index as marker of disease. J Biomed Opt. 2011; 16(11):116017. PMC: 3223513. DOI: 10.1117/1.3656732. View

11.

Lee K, Kim K, Jung J, Heo J, Cho S, Lee S . Quantitative phase imaging techniques for the study of cell pathophysiology: from principles to applications. Sensors (Basel). 2013; 13(4):4170-91. PMC: 3673078. DOI: 10.3390/s130404170. View

12.

Friebel M, Meinke M . Model function to calculate the refractive index of native hemoglobin in the wavelength range of 250-1100 nm dependent on concentration. Appl Opt. 2006; 45(12):2838-42. DOI: 10.1364/ao.45.002838. View

13.

Friebel M, Meinke M . Determination of the complex refractive index of highly concentrated hemoglobin solutions using transmittance and reflectance measurements. J Biomed Opt. 2006; 10(6):064019. DOI: 10.1117/1.2138027. View

14.

Jang Y, Jang J, Park Y . Dynamic spectroscopic phase microscopy for quantifying hemoglobin concentration and dynamic membrane fluctuation in red blood cells. Opt Express. 2012; 20(9):9673-81. DOI: 10.1364/OE.20.009673. View

15.

Tangpukdee N, Duangdee C, Wilairatana P, Krudsood S . Malaria diagnosis: a brief review. Korean J Parasitol. 2009; 47(2):93-102. PMC: 2688806. DOI: 10.3347/kjp.2009.47.2.93. View

16.

Kim K, Yoon H, Diez-Silva M, Dao M, Dasari R, Park Y . High-resolution three-dimensional imaging of red blood cells parasitized by Plasmodium falciparum and in situ hemozoin crystals using optical diffraction tomography. J Biomed Opt. 2013; 19(1):011005. PMC: 4019420. DOI: 10.1117/1.JBO.19.1.011005. View

17.

Wang X, Yu J, Wang P, Chen J . Light distribution in the erythrocyte under laser irradiation: a finite-difference time-domain calculation. Appl Opt. 2008; 47(22):4037-44. DOI: 10.1364/ao.47.004037. View

18.

Rodrigo J, Alieva T . Rapid quantitative phase imaging for partially coherent light microscopy. Opt Express. 2014; 22(11):13472-83. DOI: 10.1364/OE.22.013472. View

19.

Charriere F, Marian A, Montfort F, Kuehn J, Colomb T, Cuche E . Cell refractive index tomography by digital holographic microscopy. Opt Lett. 2006; 31(2):178-80. DOI: 10.1364/ol.31.000178. View

20.

OWENS J . Optical refractive index of air: dependence on pressure, temperature and composition. Appl Opt. 2010; 6(1):51-9. DOI: 10.1364/AO.6.000051. View