Experimental verification of T-matrix-based inverse light scattering analysis for assessing structure of spheroids as models of cell nuclei.
Experimental verification of T-matrix-based inverse light scattering analysis for assessing structure of spheroids as models of cell nuclei.
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DOI：
10.1364/ao.48.000d20
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发表时间：
2009-04-01
期刊：
影响因子：
1.9
通讯作者：
Wax A
中科院分区：
文献类型：
--
作者：
Amoozegar C;Giacomelli MG;Keener JD;Chalut KJ;Wax A
逆光散射分析 (ILSA) 旨在将测量的散射特性与最可能的理论散射分布联系起来，使其成为评估生物材料结构的有用工具。 ILSA 的精度取决于光散射几何结构与光散射模型的兼容性。在本研究中，我们比较了使用米氏理论的数值实现和 T 矩阵（一种求解球体光散射的数值方法）分析球体光散射数据时获得的精度。我们的实验数据是使用包含球状散射体和角度分辨低相干干涉仪（一种深度和角度分辨光散射测量模式）的新型光学模型获得的。结果表明，尽管存在几何不兼容性，但只要在样品相对于入射偏振和测量的散射角的多个方向上进行测量，米氏理论就可以准确地评估球体结构。相比之下，使用 T 矩阵方法进行的分析非常准确且更可靠，但仅需要从单个方向进行测量。
Inverse light scattering analysis (ILSA) seeks to associate measured scattering properties with the most probable theoretical scattering distribution, making it a useful tool for assessing structure in biological materials. The accuracy of ILSA depends on the compatibility of the light scattering geometry with the light scattering model. In this study, we compare the accuracy obtained when analyzing light scattering data from spheroids using a numerical implementation of Mie theory, and the T matrix, a numerical method of solving light scattering from spheroids. Our experimental data are acquired using novel optical phantoms containing spheroidal scatterers and angle-resolved low-coherence interferometry, a depth- and angle-resolved light scattering measurement modality. The results show that Mie theory can accurately assess spheroidal structure despite the geometric incompatibility provided measurements are taken in multiple orientations of the sample relative to the incident polarization and the measured scattering angle. In comparison, analysis using the T-matrix method is highly accurate and more reliable yet requires measurements from only a single orientation.
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DOI：
10.1016/s0022-4073(99)00159-4
发表时间：
2000-06-15
影响因子：
2.3
作者：
Voshchinnikov, NV;Il'in, VB;Farafonov, VG
通讯作者：
Farafonov, VG
影响因子：
3.6
作者：
Wilson, Jeremy D.;Giesselman, Benjamin R.;Foster, Thomas H.
通讯作者：
Foster, Thomas H.
影响因子：
3.5
作者：
Sokolov, K;Galvan, J;Richards-Kortum, R
通讯作者：
Richards-Kortum, R
影响因子：
3.5
作者：
Bigio, IJ;Bown, SG;Saunders, C
通讯作者：
Saunders, C
影响因子：
1.9
作者：
Duncan, Donald D.;Thomas, Michael E.
通讯作者：
Thomas, Michael E.