Additivity of light-scattering patterns of aggregated biological particles

Moskalensky, Alexander E.; Strokotov, Dmitry I.; Chernyshev, Andrei V.; Maltsev, Valeri P.; Yurkin, Maxim A.

doi:10.1117/1.jbo.19.8.085004

Cited by 15 publications

(15 citation statements)

References 31 publications

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“…Many different features of the cell, such as statistical variation in size and shape [clearly evident in Fig. 3(a)] and absorption, as well as correlations between the individual component's scattering distributions, 22,23 can cause variations in the final measurement. Therefore, the relative concentration of each cell component is more relevant for determining cell viability.…”

Section: Resultsmentioning

confidence: 99%

Supercontinuum-based nondisruptive scattering analyses of mouse fibroblast L929 cells before and after necrosis

et al. 2018

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Supercontinuum-based nondisruptive scattering analyses of mouse fibroblast L929 cells before and after necrosis," J.Abstract. The scattering properties of biological tissue are highly dependent on the structure size, refractive index, and wavelength of the incident light. Furthermore, these scattering characteristics are strongly influenced by movements of the scattering objects. A method is developed to determine the angular-and spectral-resolved scattering properties that enabled the characterization of biological nano-and microscaled cell structures. Nanosecond pulses from a spectrally filtered supercontinuum light source are captured and time-resolved to depress background noise and minimize disruptive effects of the biological cells. The scattering characteristics of a monolayer of mouse fibroblast L929 cells are measured at defined wavelengths in a standard cell culture plate. Because of the size and distribution of the scattering structures, a Fourier transform-based Mie scattering scheme is used to analyze the data. The system is tested to detect structural changes of mouse fibroblast L929 cells before and after poisoning with Triton X100. The final result is the development of a contamination-free method to study pathological changes in cell cultures, necrosis, or other cell-damaging effects.

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Section: Resultsmentioning

confidence: 99%

Supercontinuum-based nondisruptive scattering analyses of mouse fibroblast L929 cells before and after necrosis

et al. 2018

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“…In Fig 8B , the intensity of scattered light (more precisely, the Mueller matrix element S 11 ) is shown as a function of polar and azimuthal scattering angles. The distribution of intensity shows complex features and is distinctive from smooth pattern of oblate spheroid described in [ 66 ]. Note also that the presented model of activated platelet not only possess one or two additional morphological parameter in comparison with models of resting platelets, but also lacks axial symmetry, which brings about the influence of Euler angle γ on the light-scattering patterns.…”

Section: Methodsmentioning

confidence: 94%

Method for the simulation of blood platelet shape and its evolution during activation

et al. 2018

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We present a simple physically based quantitative model of blood platelet shape and its evolution during agonist-induced activation. The model is based on the consideration of two major cytoskeletal elements: the marginal band of microtubules and the submembrane cortex. Mathematically, we consider the problem of minimization of surface area constrained to confine the marginal band and a certain cellular volume. For resting platelets, the marginal band appears as a peripheral ring, allowing for the analytical solution of the minimization problem. Upon activation, the marginal band coils out of plane and forms 3D convoluted structure. We show that its shape is well approximated by an overcurved circle, a mathematical concept of closed curve with constant excessive curvature. Possible mechanisms leading to such marginal band coiling are discussed, resulting in simple parametric expression for the marginal band shape during platelet activation. The excessive curvature of marginal band is a convenient state variable which tracks the progress of activation. The cell surface is determined using numerical optimization. The shapes are strictly mathematically defined by only three parameters and show good agreement with literature data. They can be utilized in simulation of platelets interaction with different physical fields, e.g. for the description of hydrodynamic and mechanical properties of platelets, leading to better understanding of platelets margination and adhesion and thrombus formation in blood flow. It would also facilitate precise characterization of platelets in clinical diagnosis, where a novel optical model is needed for the correct solution of inverse light-scattering problem.

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“…Moskalensky et al. [ 167 ] showed that multiple scattering of the optically soft monomers inside an aggregate can often be neglected.…”

Section: Characterization Methods and Inverse Problemsmentioning

confidence: 99%

Single‐Particle Characterization by Elastic Light Scattering

Romanov

Yurkin

2021

Laser & Photonics Reviews

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The field of light‐scattering characterization of single particles has seen a rapid growth over the last 30 years largely due to the progress in measurement and simulation capabilities. In particular, several methods have been developed to reliably characterize various particles, described by a model with several characteristics, with geometric resolution significantly better than the diffraction limit. However, their development has been largely fragmentary, limited to specific experimental set‐ups. To fill this gap, these lines of development are reviewed within a unified framework. While focusing on characterization algorithms themselves, the experimental aspects related to the isolation and measurement of single particles are also discussed. The existing characterization methods are divided into three classes. The widest class is that of model‐driven methods based on solving parametric inverse light‐scattering problems, using a direct inversion of a low‐dimensional mapping, a nonlinear regression, or neural networks. Other classes include model‐free reconstruction methods and data‐driven classification methods. This review is designed to be extensive in including all relevant literature, but the discussion of semi‐quantitative imaging methods, such as tomography or holography‐based reconstruction, is deliberately omitted. Throughout the review the development of various characterization methods is described, they are critically compared, and promising directions of future research are highlighted.

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Additivity of light-scattering patterns of aggregated biological particles

Cited by 15 publications

References 31 publications

Supercontinuum-based nondisruptive scattering analyses of mouse fibroblast L929 cells before and after necrosis

Supercontinuum-based nondisruptive scattering analyses of mouse fibroblast L929 cells before and after necrosis

Method for the simulation of blood platelet shape and its evolution during activation

Single‐Particle Characterization by Elastic Light Scattering

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