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Detecting collagen fibrils' structure in ovarian cancer using second harmonic generation microscopy

机译:使用二次谐波产生显微镜检测卵巢癌中的胶原型原纤维结构

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Ovarian cancers have the highest mortality rate of all gynecologic cancers. Many researchers have found significant modifications in the morphology of collagen fibers in ovarian tumors. Second Harmonic Generation (SHG) is considered to have the potential to probe the structure of collagen fibrils within tissues. However, how the structure of collagen fibrils impacts the SHG remains to be solved. In this paper, Fourier transformation was adopted to analyze the quasi-phase matching, which is critical to the efficient generation of SHG. Then, the intensities of forward and backward SHG can be calculated. Moreover, two types of distribution models of collagen fibrils were built for normal ovaries and high-grade serous tumors. The intensity ratios of forward and backward SHG calculated from our models were a good fit to the measured ones. Therefore, our models are helpful for understanding the structure of ovaries at the fibril level.
机译:卵巢癌具有所有妇科癌症的死亡率最高。许多研究人员发现卵巢肿瘤中胶原纤维的形态有重大修饰。第二次谐波产生(SHG)被认为具有探测组织内胶原型原纤维的结构。然而,胶原蛋白原纤维的结构如何影响SHG仍有待解决的问题。本文采用傅里叶变换来分析准相匹配,这对SHG的有效生成至关重要。然后,可以计算向前和向后SHG的强度。此外,为普通卵巢和高级浆液肿瘤构建了两种类型的胶原纤维分布模型。由我们的模型计算的前向和向后SHG的强度比对测量的强度比为良好。因此,我们的模型有助于了解原纤维水平的卵巢结构。

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