Profiling individual human red blood cells using common-path diffraction optical tomography

Due to its strong correlation with the pathophysiology of many diseases, information about human red blood cells (RBCs) has a crucial function in hematology. Therefore, measuring and understanding the morphological, chemical, and mechanical properties of individual RBCs is a key to understanding the pathophysiology of a number of diseases in hematology, as well as to opening up new possibilities for diagnosing diseases in their early stages. In this study, we present the simultaneous and quantitative measurement of the morphological, chemical, and mechanical parameters of individual RBCs employing optical holographic microtomography. In addition, it is demonstrated that the correlation analyses of these RBC parameters provide unique information for distinguishing and understanding diseases.

[1]  T Suzuki,et al.  Rheologic properties of senescent erythrocytes: loss of surface area and volume with red blood cell age. , 1992, Blood.

[2]  Martin Lenz,et al.  ATP-dependent mechanics of red blood cells , 2009, Proceedings of the National Academy of Sciences.

[3]  Subra Suresh,et al.  Optical measurement of biomechanical properties of individual erythrocytes from a sickle cell patient. , 2012, Acta biomaterialia.

[4]  Gabriel Popescu,et al.  Imaging red blood cell dynamics by quantitative phase microscopy. , 2008, Blood cells, molecules & diseases.

[5]  Gabriel Popescu,et al.  Coherence properties of red blood cell membrane motions. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  Gabriel Popescu,et al.  Static and dynamic light scattering of healthy and malaria-parasite invaded red blood cells. , 2010, Journal of biomedical optics.

[7]  R Chirillo,et al.  Simultaneous measurement of reticulocyte and red blood cell indices in healthy subjects and patients with microcytic and macrocytic anemia. , 1995, Blood.

[8]  YoungJu Jo,et al.  Quantitative Phase Imaging Techniques for the Study of Cell Pathophysiology: From Principles to Applications , 2013, Sensors.

[9]  Nir S. Gov,et al.  Metabolic remodeling of the human red blood cell membrane , 2010, Proceedings of the National Academy of Sciences.

[10]  Jaeduck Jang,et al.  Dynamic spectroscopic phase microscopy for quantifying hemoglobin concentration and dynamic membrane fluctuation in red blood cells. , 2012, Optics express.

[11]  YongKeun Park,et al.  Spectro-angular light scattering measurements of individual microscopic objects. , 2014, Optics express.

[12]  S. Suresha,et al.  Mechanical response of human red blood cells in health and disease : Some structure-property-function relationships , 2006 .

[13]  Eric Morales,et al.  Crosstalk Between PKA and Epac Regulates the Phenotypic Maturation and Function of Human Dendritic Cells , 2010, The Journal of Immunology.

[14]  Subra Suresh,et al.  Anisotropic light scattering of individual sickle red blood cells. , 2012, Journal of biomedical optics.

[15]  Gabriel Popescu,et al.  Real Time Blood Testing Using Quantitative Phase Imaging , 2013, PloS one.

[16]  Jong Chul Ye,et al.  Real-time Visualization of 3-d Dynamic Microscopic Objects Using Optical Diffraction Tomography References and Links , 2022 .

[17]  P. Marquet,et al.  Comparative study of human erythrocytes by digital holographic microscopy, confocal microscopy, and impedance volume analyzer , 2008, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[18]  YongKeun Park,et al.  Real-time quantitative phase imaging with a spatial phase-shifting algorithm. , 2011, Optics letters.

[19]  YongKeun Park,et al.  Measurement Techniques for Red Blood Cell Deformability: Recent Advances , 2012 .

[20]  Gabriel Popescu,et al.  Optical imaging of cell mass and growth dynamics. , 2008, American journal of physiology. Cell physiology.

[21]  Zhuo Wang,et al.  Jones phase microscopy of transparent and anisotropic samples. , 2008, Optics letters.

[22]  N. Mohandas,et al.  Red cell abnormalities in hereditary spherocytosis: relevance to diagnosis and understanding of the variable expression of clinical severity. , 1996, The Journal of laboratory and clinical medicine.

[23]  Gabriel Popescu,et al.  Diffraction phase and fluorescence microscopy. , 2006, Optics express.

[24]  G. Truskey,et al.  Quantitative microscopy and nanoscopy of sickle red blood cells performed by wide field digital interferometry. , 2011, Journal of biomedical optics.

[25]  L. Mahadevan,et al.  Physiological and pathological population dynamics of circulating human red blood cells , 2010, Proceedings of the National Academy of Sciences.

[26]  Jaeduck Jang,et al.  Spectro-refractometry of individual microscopic objects using swept-source quantitative phase imaging. , 2013, Analytical chemistry.

[27]  E. Wolf Three-dimensional structure determination of semi-transparent objects from holographic data , 1969 .

[28]  L. D. Da Costa,et al.  Temporal differences in membrane loss lead to distinct reticulocyte features in hereditary spherocytosis and in immune hemolytic anemia. , 2001, Blood.

[29]  Gabriel Popescu,et al.  Quantitative Phase Imaging , 2012 .

[30]  YongKeun Park,et al.  Spectroscopic phase microscopy for quantifying hemoglobin concentrations in intact red blood cells , 2009, BiOS.

[31]  S. Suresha,et al.  Mechanics of the human red blood cell deformed by optical tweezers , 2003 .

[32]  E. Beutler,et al.  Erythrocyte cellular and membrane deformability in hereditary spherocytosis. , 1979, Blood.

[33]  P. Agre,et al.  Decreased membrane mechanical stability and in vivo loss of surface area reflect spectrin deficiencies in hereditary spherocytosis. , 1988, The Journal of clinical investigation.

[34]  D H Tycko,et al.  Accurate and independent measurement of volume and hemoglobin concentration of individual red cells by laser light scattering. , 1986, Blood.

[35]  Mario Cesarelli,et al.  Comparison of two flow‐based imaging methods to measure individual red blood cell area and volume , 2012, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[36]  Ethan Schonbrun,et al.  Quantitative absorption cytometry for measuring red blood cell hemoglobin mass and volume , 2014, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[37]  Clemens F. Kaminski,et al.  FRET Imaging of Hemoglobin Concentration in Plasmodium falciparum-Infected Red Cells , 2008, PloS one.

[38]  C. P. Bean,et al.  Counting and Sizing of Submicron Particles by the Resistive Pulse Technique , 1970 .

[39]  C. César,et al.  Impaired red cell deformability in iron deficient subjects. , 2009, Clinical hemorheology and microcirculation.

[40]  R. Hochmuth,et al.  Micropipette aspiration of living cells. , 2000, Journal of biomechanics.

[41]  G. Kaiafa,et al.  Discrimination indices as screening tests for β-thalassemic trait , 2007, Annals of Hematology.

[42]  Subra Suresh,et al.  Biophysics of Malarial Parasite Exit from Infected Erythrocytes , 2011, PloS one.

[43]  S. Jain,et al.  Red cell membrane stiffness in iron deficiency. , 1983, Blood.

[44]  P. Canham The minimum energy of bending as a possible explanation of the biconcave shape of the human red blood cell. , 1970, Journal of theoretical biology.

[45]  R. Waugh,et al.  Reductions of erythrocyte membrane viscoelastic coefficients reflect spectrin deficiencies in hereditary spherocytosis. , 1988, The Journal of clinical investigation.

[46]  Christian Depeursinge,et al.  Spatially-Resolved Eigenmode Decomposition of Red Blood Cells Membrane Fluctuations Questions the Role of ATP in Flickering , 2012, PloS one.

[47]  Yongkeun Park,et al.  Refractive index maps and membrane dynamics of human red blood cells parasitized by Plasmodium falciparum , 2008, Proceedings of the National Academy of Sciences.

[48]  Subra Suresh,et al.  Shape and Biomechanical Characteristics of Human Red Blood Cells in Health and Disease , 2010, MRS bulletin.

[49]  Shengjie Li,et al.  Recent Advances , 2018, Journal of Optimization Theory and Applications.

[50]  Gabriel Popescu,et al.  Optical Sensing of Red Blood Cell Dynamics , 2011 .

[51]  Youngchan Kim,et al.  Common-path diffraction optical tomography for investigation of three-dimensional structures and dynamics of biological cells. , 2014, Optics express.

[52]  N. Mohandas,et al.  Osmotic gradient ektacytometry: comprehensive characterization of red cell volume and surface maintenance. , 1983, Blood.

[53]  Ji-Ho Park,et al.  Angle-resolved light scattering of individual rod-shaped bacteria based on Fourier transform light scattering , 2014, Scientific Reports.

[54]  L. D. Da Costa,et al.  Hereditary spherocytosis, elliptocytosis, and other red cell membrane disorders. , 2013, Blood reviews.

[55]  S. Suresh,et al.  Effect of plasmodial RESA protein on deformability of human red blood cells harboring Plasmodium falciparum , 2007, Proceedings of the National Academy of Sciences.

[56]  Gabriel Popescu,et al.  Measurement of the nonlinear elasticity of red blood cell membranes. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[57]  YongKeun Park,et al.  Quantitative phase imaging unit. , 2014, Optics letters.

[58]  Gabriel Popescu,et al.  Measurement of red blood cell mechanics during morphological changes , 2010, Proceedings of the National Academy of Sciences.

[59]  V. Maltsev,et al.  Calibration-free method to determine the size and hemoglobin concentration of individual red blood cells from light scattering. , 2000, Applied optics.

[60]  R. Dasari,et al.  Diffraction phase microscopy for quantifying cell structure and dynamics. , 2006, Optics letters.

[61]  R. Stevens,et al.  Guidelines for the diagnosis and management of hereditary spherocytosis , 2004, British journal of haematology.

[62]  Christian Depeursinge,et al.  Spatial analysis of erythrocyte membrane fluctuations by digital holographic microscopy. , 2009, Blood cells, molecules & diseases.

[63]  G. Ntaios,et al.  Discrimination indices as screening tests for β-thalassemic trait , 2007, Annals of Hematology.

[64]  Sayeeda Huq,et al.  Hereditary Spherocytosis , 2010, Journal of health, population, and nutrition.

[65]  G. Rusciano,et al.  Experimental analysis of Hb oxy-deoxy transition in single optically stretched red blood cells. , 2010, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[66]  A. C. Burton,et al.  Distribution of Size and Shape in Populations of Normal Human Red Cells , 1968, Circulation research.

[67]  Barry R. Masters,et al.  Quantitative Phase Imaging of Cells and Tissues , 2012 .

[68]  YongKeun Park,et al.  High-resolution three-dimensional imaging of red blood cells parasitized by Plasmodium falciparum and in situ hemozoin crystals using optical diffraction tomography , 2013, Journal of biomedical optics.

[69]  M. H. Metz,et al.  Flow-cytometric light scattering measurement of red blood cell volume and hemoglobin concentration. , 1985, Applied optics.

[70]  Subra Suresh,et al.  Pf155/RESA protein influences the dynamic microcirculatory behavior of ring-stage Plasmodium falciparum infected red blood cells , 2012, Scientific Reports.

[71]  Jaeduck Jang,et al.  Polarization holographic microscopy for extracting spatio-temporally resolved Jones matrix. , 2012, Optics express.

[72]  Systems biology and red cells. , 2011, The New England journal of medicine.

[73]  B. Kemper,et al.  Digital holographic microscopy for live cell applications and technical inspection. , 2008, Applied optics.