Assessment of deformation of human red blood cells in flow cytometry: measurement and simulation of bimodal forward scatter distributions

: Light scattering by single cells is widely applied for flow cytometric differentiation of cells. However, even for human red blood cells (RBCs), which can be modeled as homogeneous dielectric particles, the potential of light scattering is not yet fully exploited. We developed a dedicated flow cytometer to simultaneously observe the forward scattering cross section (FSC) of RBCs for orthogonal laser beams with incident wave vectors (cid:174) k 1 and (cid:174) k 2 . At a wavelength λ = 632.8 nm, bimodal distributions are observed in two-dimensional dot plots of FSC( (cid:174) k 1 ) vs. FSC( (cid:174) k 2 ), which result from the RBCs’ random orientation around the direction of flow, as well as from the distributions of their size and their optical properties. Typically, signals of 7.5 × 10 4 RBCs were analyzed. We actively oriented the cells in the cytometer to prove that orientation is the main cause of bimodality. In addition, we studied the wavelength dependence of FSC( (cid:174) k 1 ) using λ = 413.1 nm, 457.9 nm, 488 nm and 632.8 nm, covering both weak and strong light absorption by the RBCs. Simulations of the light scattering by single RBCs were performed using the discrete dipole approximation (DDA) for a range of sizes, orientations and optical properties to obtain FSC distributions from RBC ensembles. Using the axisymmetric biconcave equilibrium shape of native RBCs, the experimentally observed distributions cannot be reproduced. If, however, an elongated shape model is employed that accounts for the stretching of the cell by hydrodynamic forces in the cytometer, the features of the strongly bimodal measured frequency distributions are reproduced by the simulation. Elongation ratios significantly greater than 1 in the range of 1.5 to 2.5 yield the best agreement between experiments and simulated data. elements in dependence on orientation, size and Hb concentration of the RBC. Integration of the corresponding combinations of Mueller matrix elements over the photodetector’s solid angle provides the FSC of the cells. FSC histograms are obtained by direct Monte Carlo (MC) sampling of the distributions of orientation angle, cell size, Hb concentration. We compare simulations with stretched and undeformed RBC shape models to measurement data to assess the effect of deformation on the observed bimodality of the frequency channel of the cytometer and their elongated shape due to hydrodynamic forces. This interpretation was experimentally validated by actively orienting the erythrocytes using a steel capillary for the injection of RBCs in the sheath flow whose outlet was changed from a circular cross section to a flattened, oval cross section. For modeling and simulation, we applied the DDA to compute the light scattering cross sections of native, oriented RBCs for the specific instrumental conditions and hematological RBC indices, i. e., mean cellular volume, red cell distribution width and mean cellular Hb concentration, obtained using a hematology analyzer. Our results clearly indicate that the elongations of RBCs, and hence their rheological properties, are essential to explain the experimentally observed bimodal distributions. Numerical simulations based on a biconcave shape model with an axis of rotational symmetry that corresponds to the RBC shape in the absence of external forces are in strong disagreement with the experimental observations reported here. On the other hand, we were able to reproduce the main features of the measured bimodal distributions by accounting for the elongation of RBCs in the flow cell. We found that a length of about 17 µm corresponding to an elongation factor of 2.25 yielded the best match to measurements at velocities of 7 m s − 1 in the flow cytometer. Our results give a proof of principle that rheological properties of native erythrocytes can be derived from flow cytometric measurements. For this purpose, it is necessary to know the relevant characteristics of the instrument concerning the optical layout and the fluidic system in detail, i. e., the solid angle of observation, shape of the laser beam at the intersection point as well as the forces exerted on the cell during hydrodynamic focusing and while passing through the flow channel. The presented results provide an incentive to compare and combine the mathematical approach here that is based on accurate optical modeling with a modeling of rheological and mechanical properties of cells in a macroscopic flow geometry. To this end, our studies will be extended by systematic investigations of the influence of hydrodynamic forces when changing the velocity of the sheath flow. Furthermore, the proposed ad hoc shape model for deformed RBCs

[1]  Vittorio Bianco,et al.  Label-Free Optical Marker for Red-Blood-Cell Phenotyping of Inherited Anemias. , 2018, Analytical chemistry.

[2]  L. Menschner,et al.  Detection of human disease conditions by single-cell morpho-rheological phenotyping of blood , 2018, eLife.

[3]  W. Ristenpart,et al.  Stretching of red blood cells at high strain rates , 2017 .

[4]  A. V. Chernyshev,et al.  Advanced consumable‐free morphological analysis of intact red blood cells by a compact scanning flow cytometer , 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[5]  D. Fedosov,et al.  Static and dynamic light scattering by red blood cells: A numerical study , 2017, PloS one.

[6]  Markus Bär,et al.  Determining the refractive index of human hemoglobin solutions by Kramers-Kronig relations with an improved absorption model. , 2016, Applied optics.

[7]  Johannes Mauer Shapes and Dynamics of Blood Cells in Poiseuille and Shear Flows , 2016 .

[8]  Konstantin V Gilev,et al.  Mature red blood cells: from optical model to inverse light-scattering problem. , 2016, Biomedical optics express.

[9]  P Memmolo,et al.  Optical signature of erythrocytes by light scattering in microfluidic flows. , 2015, Lab on a chip.

[10]  Jonathan B. Freund,et al.  Numerical Simulation of Flowing Blood Cells , 2014 .

[11]  T. Ishikawa,et al.  Human red blood cell behavior under homogeneous extensional flow in a hyperbolic-shaped microchannel. , 2013, Biomicrofluidics.

[12]  M. Baumstark,et al.  Flow Cytometric Assessment of Erythrocyte Shape through Analysis of FSC Histograms: Use of Kurtosis and Implications for Longitudinal Evaluation , 2013, PLoS ONE.

[13]  Chaouqi Misbah,et al.  Vesicles, capsules and red blood cells under flow , 2012 .

[14]  Alfons G. Hoekstra,et al.  The discrete-dipole-approximation code ADDA: Capabilities and known limitations , 2011 .

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

[16]  L. Gürel,et al.  Computational study of scattering from healthy and diseased red blood cells. , 2010, Journal of biomedical optics.

[17]  V. Martinelli,et al.  Red blood cell deformation in microconfined flow , 2009 .

[18]  Sung S Lee,et al.  Extensional flow-based assessment of red blood cell deformability using hyperbolic converging microchannel , 2009, Biomedical microdevices.

[19]  Subra Suresh,et al.  Biomechanics and biophysics of cancer cells. , 2007, Acta biomaterialia.

[20]  M. Daimon,et al.  Measurement of the refractive index of distilled water from the near-infrared region to the ultraviolet region. , 2007, Applied optics.

[21]  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.

[22]  K Zouaoui Boudjeltia,et al.  Assessment of erythrocyte shape by flow cytometry techniques , 2006, Journal of Clinical Pathology.

[23]  S. Goodman,et al.  Damage to the red blood cell membrane in sickle cell disease , 2007 .

[24]  M. A. Yurkina,et al.  The discrete dipole approximation : An overview and recent developments , 2007 .

[25]  M. Yurkin,et al.  Discrete dipole simulations of light scattering by blood cells , 2007 .

[26]  Thomas Wriedt,et al.  Light scattering by single erythrocyte: Comparison of different methods , 2006 .

[27]  A. V. Chernyshev,et al.  Experimental and theoretical study of light scattering by individual mature red blood cells by use of scanning flow cytometry and a discrete dipole approximation. , 2005, Applied optics.

[28]  C. Pozrikidis Axisymmetric motion of a file of red blood cells through capillaries , 2005 .

[29]  H. Schmid-schönbein,et al.  A simple method for measuring red cell deformability in models of the microcirculation , 1973, Blut.

[30]  S. Suresh,et al.  Nonlinear elastic and viscoelastic deformation of the human red blood cell with optical tweezers. , 2004, Mechanics & chemistry of biosystems : MCB.

[31]  H. Rinneberg,et al.  Flow cytometric differentiation of erythrocytes and leukocytes in dilute whole blood by light scattering. , 1998, Cytometry.

[32]  D. Grasso,et al.  Flow cytometry. , 1998, Methods in molecular medicine.

[33]  R. Skalak,et al.  Flow of axisymmetric red blood cells in narrow capillaries , 1986, Journal of Fluid Mechanics.

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

[35]  O. C. Blair,et al.  Practical Flow Cytometry , 1985, The Yale Journal of Biology and Medicine.

[36]  P. Barber Absorption and scattering of light by small particles , 1984 .

[37]  I. Gluzman,et al.  Plasmodium falciparum maturation abolishes physiologic red cell deformability. , 1984, Science.

[38]  L. Ornstein,et al.  Isovolumetric sphering of erythrocytes for more accurate and precise cell volume measurement by flow cytometry. , 1983, Cytometry.

[39]  Y. Fung,et al.  High-resolution data on the geometry of red blood cells. , 1981, Biorheology.

[40]  R. Hochmuth,et al.  Red cell extensional recovery and the determination of membrane viscosity. , 1979, Biophysical journal.

[41]  J. Dormandy,et al.  IMPAIRED RED CELL DEFORMABILITY IN PERIPHERAL VASCULAR DISEASE , 1976, The Lancet.

[42]  R. Skalak,et al.  Strain energy function of red blood cell membranes. , 1973, Biophysical journal.

[43]  William H. Carter,et al.  Electromagnetic Field of a Gaussian Beam with an Elliptical Cross Section , 1972 .

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

[45]  R. Barer Refractometry and interferometry of living cells. , 1957, Journal of the Optical Society of America.

[46]  G. Mie Beiträge zur Optik trüber Medien, speziell kolloidaler Metallösungen , 1908 .