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Quantification of collagen fibril alignment and density in second harmonic generation images of cellular collagen matrices.

机译:细胞胶原蛋白基质的二次谐波生成图像中胶原蛋白原纤维排列和密度的定量。

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摘要

Collagen is one of the most abundant proteins found in the body. Its quantification during cellular induced remodeling is important in differentiating normal and diseased tissue development. Collagen can be used for specific applications related to disease diagnostics as well as tissue engineering. Within tissue, cells proliferate and remodel their surrounding extracellular matrix changing their environment including collagen. Collagen is not only biocompatible but also strong due to its unique structure. Since the ECM is a complex system of collagen interacting with cells, a dynamic technique is needed to quantify the biodegradation and deposition of collagen. In this project, we present the use of a combination of non-linear optical imaging and image processing as a non-invasive technique for quantifying the collagen fibril density and alignment within a model extracellular matrix.; To model an extracellular matrix, collagen gels were created and examined alone or when seeded with fibroblast cells. Two-photon excitation was used to simultaneously image both the cells and the collagen. Second Harmonic Generation (SHG) was used to image collagen type I fibrils and to monitor collagen trafficking. Endogenous two-photon excited fluorescence (TPEF) was detected from the cells.; In order to quantify the dynamic changes in the density of collagen fibrils within the acquired images, the Power Spectral Density (PSD) based on the Fourier transform was used. Furthermore, an Orientation Index (OI) was calculated from the PSD to assess the percentage of aligned fibrils along a dominant direction. Changes in the spatial frequency-dependent PSD at specific angles, provide insight into the changes in fibril size during collagen reorganization. Local fibril alignment was determined by segmenting an image into tiles and performing the Hough Transform to find the level and direction of alignment on each tile. The amplitudes and directions from all the tiles were summed to give a distribution of local alignment and the entropy was calculated as a measure of organization.; We found that collagen reorganization was highly dependent on the density of cells present. Specifically, in the collagen gels seeded with a high density of fibroblasts, we observed initially significant levels of collagen degradation, followed by deposition of highly aligned fibers. In the collagen matrices seeded with a lower density of cells the differences in collagen morphology are not as distinct, exhibiting only an overall increase in fibril density, as assessed by the PSD-based Orientation Index. Entropy calculations based on the Hough Transform analysis of localized image regions indicate that the levels of alignment are particularly enhanced in areas immediately surrounding the cells.; Development of non-invasive techniques for the characterization of collagen fibril density and alignment is a step forward in understanding cell-matrix interactions in the context of disease diagnostic and tissue engineering applications.
机译:胶原蛋白是体内发现的最丰富的蛋白质之一。在细胞诱导的重塑过程中对它的定量在区分正常和患病组织的发育中很重要。胶原蛋白可用于与疾病诊断以及组织工程相关的特定应用。在组织内,细胞增殖并重塑周围的细胞外基质,从而改变其环境,包括胶原蛋白。胶原蛋白不仅具有生物相容性,而且由于其独特的结构而具有很高的强度。由于ECM是胶原蛋白与细胞相互作用的复杂系统,因此需要动态技术来量化胶原蛋白的生物降解和沉积。在这个项目中,我们将非线性光学成像和图像处理相结合作为一种非侵入性技术,用于量化模型细胞外基质中胶原原纤维的密度和排列。为了模拟细胞外基质,创建了胶原蛋白凝胶并单独检查或将其与成纤维细胞一起接种时进行检查。使用双光子激发来同时使细胞和胶原成像。第二谐波产生(SHG)用于成像I型胶原原纤维并监测胶原运输。从细胞中检测到内源性双光子激发荧光(TPEF)。为了量化所获取图像中胶原纤维密度的动态变化,使用了基于傅立叶变换的功率谱密度(PSD)。此外,从PSD计算出取向指数(OI),以评估沿主方向排列的原纤维的百分比。在特定角度下依赖于空间频率的PSD的变化可洞察胶原蛋白重组过程中原纤维大小的变化。通过将图像分割成小块并执行霍夫变换来确定每个小块上的对齐水平和方向,从而确定局部原纤维对齐。将所有图块的幅度和方向相加,得出局部对齐的分布,并计算熵作为组织度量。我们发现胶原蛋白的重组高度依赖于存在的细胞密度。具体来说,在播种有高密度成纤维细胞的胶原蛋白凝胶中,我们最初观察到明显的胶原蛋白降解水平,然后沉积了高度排列的纤维。在以较低密度的细胞播种的胶原蛋白基质中,胶原蛋白形态的差异并不那么明显,仅表现出总体的原纤维密度增加,如基于PSD的方向指数所评估的。基于对局部图像区域进行霍夫变换分析的熵计算表明,在细胞周围的区域中,对齐水平特别增强。用于表征胶原原纤维密度和排列的非侵入性技术的发展是在疾病诊断和组织工程应用的背景下理解细胞-基质相互作用的一步。

著录项

  • 作者

    Bayan, Christopher.;

  • 作者单位

    Tufts University.$bBiomedical Engineering.;

  • 授予单位 Tufts University.$bBiomedical Engineering.;
  • 学科 Engineering Biomedical.
  • 学位 M.S.
  • 年度 2007
  • 页码 179 p.
  • 总页数 179
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物医学工程;
  • 关键词

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