| Summary: | This thesis describes a novel imaging methodology for visualization and quantitative analysis of the vascular topology of different cortical regions of the mouse brain in 3D. The brain is perfused with a fluorescent contrast agent, and rendered fully transparent via optical clearing. This procedure enables images through the whole cortical depth to be obtained with a 2-photon microscope without sectioning. The Allen Reference Atlas (ARA) (Lein et al., 2007) is registered to the 2-photon data for delineation of the cortical regions. Quantitative metrics are then extracted from the different regions using an automatic vessel segmentation algorithm. These metrics are compared with those obtained by other investigators to validate this technique, and are found to be in agreement. Since this methodology possesses the resolution to visualize vessels of all sizes, and provides reasonable estimates of quantitative parameters, it shows strong potential for quantitative analysis of normal and abnormal cortical vascular architecture.
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