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Ultrasensitive quantification of cerebral capillary flow networks and dynamics

机译:脑毛细血管流动网络和动力学的超灵敏定量

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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)是脑功能成像的有前途的工具。但是,其检测毛细血管床缓慢流动的敏感性可能会限制其在可视化和量化脑微循环细微变化方面的效用。为了解决这个限制,我们开发了一种称为对比增强型μODT(c-μODT)的新方法,其中将脂质内注射到小鼠尾静脉中以增强μODT检测的灵敏度。我们证明,脂质内注射后,μODT的流量检测灵敏度显着提高了230%(通过微脉管系统的填充因子(FF)定量)。更重要的是,我们显示c-μODT保留了血流成像的定量特性,即在注射脂质之前和之后在毛细血管网络中显示出高碳酸血症引起的血流增加的可比变化率。

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