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Ultrasensitive quantification of cerebral capillary flow networks and dynamics

机译:超敏感量化脑毛细管流动网络和动力学

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Ultra-high resolution optical Doppler coherence tomography (μODT) is a promising tool for brain functional imaging. However, its sensitivity for detecting slow flows in capillary beds may limit its utility in visualizing and quantifying subtle changes in brain microcirculation. To address this limitation, we developed a novel method called contrast-enhanced μODT (c-μODT) in which intralipid is injected into mouse tail vein to enhance μODT detection sensitivity. We demonstrate that after intralipid injection, the flow detection sensitivity of μODT is dramatically enhanced by 230% as quantified by the fill factor (FF) of microvasculature. More importantly, we show that c-μODT preserves the quantitative properties for flow imaging, i.e., showing a comparable change ratio of hypercapnia-induced flow increase in the capillary network before and after injecting intralipid.
机译:超高分辨率光学多普勒相干断层扫描(μODT)是脑功能成像的有希望的工具。然而,它对毛细血管床中的缓慢流动的敏感性可以限制其在可视化和量化脑微循环中的微妙变化的实用性。为了解决这些限制,我们开发了一种称为对比度增强的μodt(C-μodt)的新方法,其中intralipid注入小鼠尾静脉,以提高μodt检测灵敏度。我们证明,在introalipid注射后,通过微血管结构的填充因子(FF)量化,μodt的流动检测灵敏度大大提高了230%。更重要的是,我们表明C-μodt保留了流量成像的定量性质,即,在注射intralipid之前和之后,显示了毛细管网络中的高曲线诱导的流量增加的可比变化比。

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