Born approximation model for light scattering by red blood cells

Lim, Joonoh; Ding, Huafeng; Mir, Mustafa; Zhu, Ruoyu; Tangella, Krishnarao; Popescu, Gabriel

doi:10.1364/boe.2.002784

Cited by 35 publications

(29 citation statements)

References 16 publications

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“…[16][17][18] If B n ðr d Þ is known, a series of simple mathematical transformations can be used to first derive PðθÞ and subsequently optical properties, such as the scattering coefficient μ s and anisotropy factor g as well as higher order shape parameters, such as γ, D, etc. 10,19 Since B n ðr d Þ can similarly be defined for discrete particles (e.g., spheres, 12 red bloods cells, 20 rods, 18 etc.) as well as continuous random media, it can serve as a universal mediator between all models of light scattering.…”

Section: Introductionmentioning

confidence: 99%

Subdiffusion reflectance spectroscopy to measure tissue ultrastructure and microvasculature: model and inverse algorithm

Radosevich¹,

Eshein²,

Nguyen³

et al. 2015

J. Biomed. Opt

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Abstract. Reflectance measurements acquired from within the subdiffusion regime (i.e., lengthscales smaller than a transport mean free path) retain much of the original information about the shape of the scattering phase function. Given this sensitivity, many models of subdiffusion regime light propagation have focused on parametrizing the optical signal through various optical and empirical parameters. We argue, however, that a more useful and universal way to characterize such measurements is to focus instead on the fundamental physical properties, which give rise to the optical signal. This work presents the methodologies that used to model and extract tissue ultrastructural and microvascular properties from spatially resolved subdiffusion reflectance spectroscopy measurements. We demonstrate this approach using ex-vivo rat tissue samples measured by enhanced backscattering spectroscopy. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Introductionmentioning

confidence: 99%

Subdiffusion reflectance spectroscopy to measure tissue ultrastructure and microvasculature: model and inverse algorithm

Radosevich¹,

Eshein²,

Nguyen³

et al. 2015

J. Biomed. Opt

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“…Examples of such simplifications include the spherical 2,7 and spheroidal 8 approximations of the RBCs' morphology made because of the ease with which the optical properties can be obtained from either the Lorenz-Mie theory or the extended boundary condition method (EBCM). Other examples of the simplifications are the use of approximate or semi-empirical scattering computational methods to compute the optical properties of more realistic RBC shapes, such as the Born approximation, 9 anomalous diffraction theory, 10,11 Wentzel-Kramers-Brillouin approximation, 12 and physical-geometric-optics approximation method. 13 As the numerical methods have gradually developed to solve Maxwell's equations, numerous publications are available on light scattering by RBCs using numerically rigorous methods including the discrete-dipole approximation (DDA), 14,15 finitedifference time-domain (FDTD) method, 16 boundary element method, 17 multilevel fast multipole algorithm (MLFMA), 18 and discrete sources method (DSM).…”

Section: Introductionmentioning

confidence: 99%

Modeling of light scattering by biconcave and deformed red blood cells with the invariant imbedding T-matrix method

Yang

2013

J. Biomed. Opt

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Abstract. The invariant imbedding T-matrix method (II-TM) is employed to simulate the optical properties of normal biconcave and deformed red blood cells (RBCs). The phase matrix elements of a RBC model computed with the II-TM are compared with their counterparts computed with the discrete-dipole approximation (DDA) method. As expected, the DDA results approach the II-TM results with an increase in the number of dipoles per incident wavelength. Computationally, the II-TM is faster than the DDA when multiple RBC orientations are considered. For a single orientation, the DDA is comparable with or even faster than the II-TM because the DDA efficiently converges for optically soft particles; however, the DDA method demands significantly more computer memory than the II-TM. After the applicability of the II-TM is numerically confirmed, a comparison is conducted of the optical properties of oxygenated and deoxygenated RBCs and of normal and deformed RBCs. The spectral variations of RBCs' optical properties are investigated in the wavelength range from 0.25 to 1.0 μm. Furthermore, the statistically averaged phase matrix of spheres and biconcave RBCs are compared. Conducted numerical simulations suggest the applicability of the II-TM for the inverse light scattering analysis and radiative transfer simulations in blood. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…The entire simulation results on the light intensities distribution is shown in Supplementary Movie 3. In literature, the scattering theory [39][40] is considered for interaction of light with RBCs. However, the model described here is in the framework of geometrical optics and furnishes a good approximation of the interaction between light and the RBC lens.…”

mentioning

confidence: 99%

Red blood cell as an adaptive optofluidic microlens

et al. 2015

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The perspective of using live cells as lenses could open new revolutionary and intriguing scenarios in the future of biophotonics and biomedical sciences for endoscopic vision, local laser treatments via optical fibres and diagnostics. Here we show that a suspended red blood cell (RBC) behaves as an adaptive liquid-lens at microscale, thus demonstrating its imaging capability and tunable focal length. In fact, thanks to the intrinsic elastic properties, the RBC can swell up from disk volume of 90 fl up to a sphere reaching 150 fl, varying focal length from negative to positive values. These live optofluidic lenses can be fully controlled by triggering the liquid buffer's chemistry. Real-time accurate measurement of tunable focus capability of RBCs is reported through dynamic wavefront characterization, showing agreement with numerical modelling. Moreover, in analogy to adaptive optics testing, blood diagnosis is demonstrated by screening abnormal cells through focal-spot analysis applied to an RBC ensemble as a microlens array.

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Born approximation model for light scattering by red blood cells

Cited by 35 publications

References 16 publications

Subdiffusion reflectance spectroscopy to measure tissue ultrastructure and microvasculature: model and inverse algorithm

Subdiffusion reflectance spectroscopy to measure tissue ultrastructure and microvasculature: model and inverse algorithm

Modeling of light scattering by biconcave and deformed red blood cells with the invariant imbedding T-matrix method

Red blood cell as an adaptive optofluidic microlens

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