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. Author manuscript; available in PMC: 2014 Nov 1.
Published in final edited form as: Ann Biomed Eng. 2013 Jul 11;41(11):10.1007/s10439-013-0828-0. doi: 10.1007/s10439-013-0828-0

FIGURE 2.

FIGURE 2

Summary and validation of morphometric properties and blood rheology of the microvessels of the secondary cortex next to the collateral sulcus in the right temporal lobe. Closed symbols show measured morphological properties with best fit solid line, open symbols show morphometrics of our artificially constructed microvessel structure. Panels a–d compare this work against morphological analysis of confocal microscopy work of the human secondary cortex.12,38 (a) Diameter distribution of all vessels in the microvascular network. (b) Length distribution of all vessels in the network. (c) Normal distribution of capillary vessels diameter with a mean diameter of 6 μm. (d) Histogram of distance to nearest capillary vessel in the cortical tissue, solid line shows polynomial best-fit. (e) Laminar distribution of volume fraction for vessels in cortical subsection, Triangles (Δ) indicate the total vessel pattern, squares (□) represent only the capillary spectra, compared with laminar network morphometrics obtained by scanning electron microscopy of corrosion casts of the macaque visual cortex.76 The volume density for the synthetic human microvasculature is lower than the macaque, as reflected in the values reported in Table 2. (f) Diameter dependent viscosity as determined by the Fahraeus–Lindqvist equation (Eq. 4) in comparison to values reported by Boas 4 and Takahashi.68 In the simulations, we used Hd = 0.45.