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Computational analysis of cerebrovascular structures imaged using two-photon microscopy

机译:使用双光子显微镜成像脑血管结构的计算分析

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Neurodegenerative diseases including Alzheimer’s affect millions around the world, and this number is projected toincrease over the years unless a breakthrough is made. There are several theories on the pathogenesis ofneurodegenerative diseases, with the amyloid cascade and tau theory being the most prominent ones. The formationof amyloid plaques and tau tangles collapses capillaries in the brain, thereby inducing hypoxia and destruction ofneurons from loss of nourishment. While we do understand some of the changes that occur in the brain’s vasculatureform the pathogenesis of these diseases, they have not yet been mathematically characterized with precision. Acomputational pipeline is presented here to analyze optically sectioned mice brain sections imaged via two-photonmicroscopy and characterize various vasculature parameters which are known to deteriorate from neurogenerativediseases. Our proposed pipeline aims to quantify various brain vasculature parameters, such as, vessel tortuosity,diameter, volume and length, as well the degree of difference to understand disease pathogenesis with the eventualhope of providing drug intervention to regress or minimize these changes.
机译:包括阿尔茨海默氏症的神经变性疾病在全球范围内影响数百万,这个数字被预测到除非进行突破,否则多年来增加。有几种关于发病机制的理论神经变性疾病,淀粉样级级联和TAU理论是最突出的疾病。它的成形淀粉样斑块和Tau缠结坍塌毛细血管在大脑中,从而诱导缺氧和破坏神经元损失营养。虽然我们了解大脑血管系统中发生的一些变化形成这些疾病的发病机制,它们尚未以精确表征在数学上。一种此处提出计算管道以分析通过双光子成像的光学切片小鼠脑切片显微镜和表征各种血管系统的参数,该参数从神经源相关劣化疾病。我们拟议的管道旨在量化各种脑血管系统参数,如血管曲折,直径,体积和长度,以及了解疾病发病机制的差异程度希望提供药物干预以退出或最大限度地减少这些变化。

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