Accurate measurement of volume and shape of resting and activated blood platelets from light scattering

Abstract. We introduce a novel approach for determination of volume and shape of individual blood platelets modeled as an oblate spheroid from angle-resolved light scattering with flow-cytometric technique. The light-scattering profiles (LSPs) of individual platelets were measured with the scanning flow cytometer and the platelet characteristics were determined from the solution of the inverse light-scattering problem using the precomputed database of theoretical LSPs. We revealed a phenomenon of parameter compensation, which is partly explained in the framework of anomalous diffraction approximation. To overcome this problem, additional a priori information on the platelet refractive index was used. It allowed us to determine the size of each platelet with subdiffraction precision and independent of the particular value of the platelet aspect ratio. The shape (spheroidal aspect ratio) distributions of platelets showed substantial differences between native and activated by 10 μM adenosine diphosphate samples. We expect that the new approach may find use in hematological analyzers for accurate measurement of platelet volume distribution and for determination of the platelet activation efficiency.

[1]  M. Frojmovic,et al.  Turbidometric evaluations of platelet activation: relative contributions of measured shape change, volume, and early aggregation. , 1983, Journal of pharmacological methods.

[2]  J. David-Ferreira The blood platelet: electron microscopic studies. , 1964, International review of cytology.

[3]  Jun Q. Lu,et al.  Systematic comparison of the discrete dipole approximation and the finite difference time domain method for large dielectric scatterers. , 2007, Optics express.

[4]  B. Auguié,et al.  Severe loss of precision in calculations of T-matrix integrals , 2012 .

[5]  Valeri P. Maltsev,et al.  Characterisation of Bio-Particles from Light Scattering , 2004 .

[6]  D. Burgess,et al.  Transformation and motility of human platelets: details of the shape change and release reaction observed by optical and electron microscopy , 1979, The Journal of cell biology.

[7]  J. Hoxie,et al.  Detection of activated platelets in whole blood using activation- dependent monoclonal antibodies and flow cytometry , 1987 .

[8]  S. Sharma,et al.  Light Scattering by Optically Soft Particles: Theory and Applications , 2006 .

[9]  R. Heethaar,et al.  Light scattering by red blood cells in ektacytometry: Fraunhofer versus anomalous diffraction. , 1993, Applied optics.

[10]  Adam Wax,et al.  Size and shape determination of spheroidal scatterers using two-dimensional angle resolved scattering , 2010, Optics express.

[11]  M. Macey,et al.  Use of mean platelet component to measure platelet activation on the ADVIA 120 haematology system. , 1999, Cytometry.

[12]  T. Wriedt,et al.  Improving the numerical stability of T-matrix light scattering calculations for extreme particle shapes using the nullfield method with discrete sources , 2011 .

[13]  E. Maurer-Spurej,et al.  Past and future approaches to assess the quality of platelets for transfusion. , 2007, Transfusion medicine reviews.

[14]  Alfons G. Hoekstra,et al.  The discrete dipole approximation: an overview and recent developments , 2007 .

[15]  Alfons G. Hoekstra,et al.  Determination of volume, shape and refractive index of individual blood platelets , 2006 .

[16]  Maxim A Yurkin,et al.  Light-scattering flow cytometry for identification and characterization of blood microparticles. , 2012, Journal of biomedical optics.

[17]  Shizuhiko Nishisato,et al.  An Overview and Recent Developments in Dual Scaling , 1996 .

[18]  Maxim A Yurkin,et al.  Convergence of the discrete dipole approximation. II. An extrapolation technique to increase the accuracy. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

[19]  M. Mishchenko,et al.  Reprint of: T-matrix computations of light scattering by nonspherical particles: a review , 1996 .

[20]  V. Fuster,et al.  Platelets in Thrombotic and Nonthrombotic Disorders – Pathophysiology, Pharmacology and Therapeutics , 2003, Leukemia.

[21]  Valeri P. Maltsev,et al.  An optimization method for solving the inverse Mie problem based on adaptive algorithm for construction of interpolating database , 2013 .

[22]  G. Yong,et al.  A rapid flow cytometric technique for the detection of platelet‐monocyte complexes, activated platelets and platelet‐derived microparticles , 2009, International journal of laboratory hematology.

[23]  W. Wagner,et al.  Flow cytometric assays to detect platelet activation and aggregation in device-implanted calves. , 1998, Journal of biomedical materials research.

[24]  Walter J. Riker A Review of J , 2010 .

[25]  J M Paulus,et al.  Platelet size in man. , 1975, Blood.

[26]  G. Born,et al.  Quantification of the morphological reaction of platelets to aggregating agents and of its reversal by aggregation inhibitors. , 1978, The Journal of physiology.

[27]  W. Steen Absorption and Scattering of Light by Small Particles , 1999 .

[28]  A. Nurden,et al.  Annexin V as a probe of aminophospholipid exposure and platelet membrane vesiculation: a flow cytometry study showing a role for free sulfhydryl groups , 1993 .

[29]  Dmitry I. Strokotov,et al.  Is there a difference between T- and B-lymphocyte morphology? , 2009, Journal of biomedical optics.

[30]  K. E. Kim,et al.  Mean platelet volume in the normal state and in various clinical disorders. , 1986, Yonsei medical journal.

[31]  V. Maltsev Scanning flow cytometry for individual particle analysis , 2000 .

[32]  R. Polanowska-Grabowska,et al.  Platelets in Thrombotic and Non-thrombotic Disorders: The platelet shape change , 2002 .

[33]  G. Born Observations on the change in shape of blood platelets brought about by adenosine diphosphate , 1970, The Journal of physiology.

[34]  Y. Shinohara,et al.  Detection of activated platelets in whole blood by flow cytometry , 2005 .

[35]  A. Grant,et al.  Assessment of platelet activation in several different anticoagulants by the Advia 120 Hematology System, fluorescence flow cytometry, and electron microscopy , 2003, Thrombosis and Haemostasis.

[36]  A Method for Investigating the Orientational Behaviour of Fibrous Particles in Gaseous Flow , 1995 .

[37]  S. Ben‐Sasson,et al.  Electrical sizing of particles in suspensions. I. Theory. , 1969, Biophysical journal.

[38]  Konstantin V Gilev,et al.  Comparison of the discrete dipole approximation and the discrete source method for simulation of light scattering by red blood cells. , 2010, Optics express.

[39]  Alfons G. Hoekstra,et al.  The discrete dipole approximation for simulation of light scattering by particles much larger than the wavelength , 2007 .

[40]  Maxim A Yurkin,et al.  Convergence of the discrete dipole approximation. I. Theoretical analysis. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

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

[42]  Valeri P. Maltsev,et al.  The scanning flow cytometer modified for measurement of two-dimensional light-scattering pattern of individual particles , 2007 .

[43]  Adrian Doicu,et al.  Light Scattering by Systems of Particles: Null-Field Method with Discrete Sources: Theory and Programs , 2014 .

[44]  M M Frojmovic,et al.  Human platelet size, shape, and related functions in health and disease. , 1982, Physiological reviews.

[45]  M. B. Zucker,et al.  Reversible alterations in platelet morphology produced by anticoagulants and by cold. , 1954, Blood.

[46]  M. Frojmovic,et al.  Geometry of normal mammalian platelets by quantitative microscopic studies. , 1976, Biophysical journal.

[47]  Dmitry I Strokotov,et al.  Polarized light‐scattering profile—advanced characterization of nonspherical particles with scanning flow cytometry , 2011, Cytometry. Part A : the journal of the International Society for Analytical Cytology.