Estimation of subcellular particle size histograms with electron microscopy for prediction of optical scattering in breast tissue
Estimation of subcellular particle size histograms with electron microscopy for prediction of optical scattering in breast tissue
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DOI：
10.1117/1.2398903
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发表时间：
2006-11-01
影响因子：
3.5
通讯作者：
Pogue, Brian W.
中科院分区：
文献类型：
--
作者：
Bartek, Matthew;Wang, Xin;Pogue, Brian W.
组织的漫射近红外断层扫描揭示了源自组织亚显微特征的散射变化；然而，使用这些信息来预测哪些特征对散射光谱有贡献的现有工具由于缺乏量化颗粒尺寸的直接数据而受到限制。用电子显微镜检查乳腺组织，分析表明大多数细胞组织的粒径分布呈双指数函数。检查了高级癌症、低级癌症、纤维腺组织和脂肪组织的平均粒径直方图。对于这些组织类型，颗粒直方图的大小逐渐减小，而对于这四种组织，颗粒的平均尺寸分别增加。这些组织类型的典型颗粒尺寸在 10 至 500 nm 范围内，通过双指数拟合得出两种颗粒分布：一种为较小尺寸，接近 20 至 25 nm，另一种为 110 至 230 nm，用于较大分布。米氏散射理论用于获取这些颗粒分布并计算散射光谱。存在对大块乳腺组织的减少散射系数光谱进行成像的能力，因此该数据提供了关于如何映射大块成像以预测与组织超微结构相关的因素的见解。 (c) 2006 年光电仪器工程师协会。
Diffuse near-infrared tomography of tissue reveals scattering changes that originate from the submicroscopic features of the tissue; yet the existing tools to use this information to predict which features contribute to the scattering spectrum are limited by the lack of direct data quantifying the particle sizes. Breast tissue was examined with electron microscopy, and analysis showed that the distributions of particle sizes appear in double exponential functions for most cellular tissues. The average particle size histograms of high-grade cancer, low-grade cancer, fibroglandular tissue, and adipose tissue were examined. The particle histograms were progressively decreasing in magnitude for these tissue types, and the average size of the particles increased, for these four tissues, respectively. Typical particle sizes in the range of 10 to 500 nm for these tissue types, with biexponential fitting, gave two particle distributions: one near 20 to 25 nm for the smaller size and one at 110 to 230 nm for the larger distributions. Mie scatter theory was used to take these particle distributions and calculate scattering spectra. The ability to image reduced scattering coefficient spectra of bulk breast tissues exists, and so this data provides insight into how bulk imaging may be mapped over to predict factors related to the tissue ultrastructure. (c) 2006 Society of Photo-Optical Instrumentation Engineers.