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

Moskalensky, Alexander E.; Yurkin, Maxim A.; Konokhova, Anastasiya I.; Strokotov, Dmitry I.; Nekrasov, Vyacheslav M.; Chernyshev, Andrei V.; Tsvetovskaya, Galina A.; Chikova, Elena D.; Maltsev, Valeri P.

doi:10.1117/1.jbo.18.1.017001

Cited by 47 publications

(50 citation statements)

References 42 publications

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“…Additionally, it would be tremendously helpful to be able to predict scattering errors from model shape differences. While it seems like a very hard thing to do, there have been semi-empirical approaches by Strokotov et al (2009) and Moskalensky et al (2013) that have experimented with the idea. While their approach is not directly applicably for dust particle shapes, it is very encouraging to see progress in this area.…”

Section: Discussionmentioning

confidence: 99%

Retrieving microphysical properties of dust-like particles using ellipsoids: the case of refractive index

et al. 2015

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Abstract. Distributions of ellipsoids are often used to simulate the optical properties of non-ellipsoidal atmospheric particles, such as dust. In this work, the applicability of ellipsoids for retrieving the refractive index of dust-like target model particles from scattering data is investigated. This is a pure modeling study, in which stereogrammetrically retrieved model dust shapes are used as targets. The primary objective is to study whether the refractive index of these target particles can be inverted from their scattering matrices using ellipsoidal model particles. To achieve this, first scattering matrices for the target model particles with known refractive indices are computed. First, a non-negative least squares fitting is performed, individually for each scattering matrix element, for 46 differently shaped ellipsoids by using different assumed refractive indices. Then, the fitting error is evaluated to establish whether the ellipsoid ensemble best matches the target scattering matrix elements when the correct refractive index is assumed. Second, we test whether the ellipsoids best match the target data with the correct refractive index, when a predefined (uniform) shape distribution for ellipsoids is assumed, instead of optimizing the shape distribution separately for each tested refractive index. The results show not only that for both of these approaches using ellipsoids with the true refractive index produces good results but also that for each scattering matrix element even better results are acquired by using wrong refractive indices. In addition, the best agreement is obtained for different scattering matrix elements using different refractive indices. The findings imply that retrieval of refractive index of non-ellipsoidal particles whose single-scattering properties have been modeled with ellipsoids may not be reliable. Furthermore, it is demonstrated that the differences in single-scattering albedo and asymmetry parameter between the best-match ellipsoid ensemble and the target particles may give rise to major differences in simulated aerosol radiative effects.

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Section: Discussionmentioning

confidence: 99%

Retrieving microphysical properties of dust-like particles using ellipsoids: the case of refractive index

et al. 2015

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“…2 The characteristics of particles can be accurately determined when the particle geometry is relatively simple. [5][6][7] Scattering of light by particles with complicated geometry is more difficult to interpret, mainly due to a larger number of characteristics. [5][6][7] Scattering of light by particles with complicated geometry is more difficult to interpret, mainly due to a larger number of characteristics.…”

Section: Introductionmentioning

confidence: 99%

Additivity of light-scattering patterns of aggregated biological particles

et al. 2014

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The paper is focused on light scattering by aggregates of optically soft particles with a size larger than the wavelength, in particular, blood platelets. We conducted a systematic simulation of light scattering by dimers and larger aggregates of blood platelets, each modeled as oblate spheroids, using the discrete dipole approximation. Two-dimensional (2-D) light scattering patterns (LSPs) and internal fields showed that the multiple scattering between constituent particles can be neglected. Additionally, we derived conditions of the scattering angle and orientation of the dimer, under which the averaging of the 2-D LSPs over the azimuthal scattering angle washes out interference in the far field, resulting in averaged LSPs of the aggregate being equal to the sum of that for its constituents. We verified theoretical conclusions using the averaged LSPs of blood platelets measured with the scanning flow cytometer (SFC). Moreover, we obtained similar results for a model system of aggregates of polystyrene beads, studied both experimentally and theoretically. Finally, we discussed the potential of discriminating platelet aggregates from monomers using the SFC.

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“…The ILS problem was solved analogously to that described in [14] for characterization of blood platelets. In short, the problem is transformed into the global minimization of the weighted sum of squares:…”

Section: Solution Of Ils Problemmentioning

confidence: 99%

“…The new method does not require chemical spherization of RBCs and utilizes the solution of the inverse light-scattering (ILS) problem, using the optical model of a mature RBC. We used similar approach for characterization of lymphocytes, platelets, rod-like bacteria, blood microparticles, and milk fat globules [11][12][13][14]. Extension of this approach to the RBCs requires knowledge of their precise shape.…”

Section: Introductionmentioning

confidence: 99%

Mature red blood cells: from optical model to inverse light-scattering problem

Gilev¹,

Yurkin²,

Chernyshova³

et al. 2016

Biomed. Opt. Express

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Abstract:We propose a method for characterization of mature red blood cells (RBCs) morphology, based on measurement of light-scattering patterns (LSPs) of individual RBCs with the scanning flow cytometer and on solution of the inverse light-scattering (ILS) problem for each LSP. We considered a RBC shape model, corresponding to the minimal bending energy of the membrane with isotropic elasticity, and constructed an analytical approximation, which allows rapid simulation of the shape, given the diameter and minimal and maximal thicknesses. The ILS problem was solved by the nearest-neighbor interpolation using a preliminary calculated database of 250,000 theoretical LSPs. For each RBC in blood sample we determined three abovementioned shape characteristics and refractive index, which also allows us to calculate volume, surface area, sphericity index, spontaneous curvature, hemoglobin concentration and content. ©2016 Optical Society of America

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

Cited by 47 publications

References 42 publications

Retrieving microphysical properties of dust-like particles using ellipsoids: the case of refractive index

Retrieving microphysical properties of dust-like particles using ellipsoids: the case of refractive index

Additivity of light-scattering patterns of aggregated biological particles

Mature red blood cells: from optical model to inverse light-scattering problem

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