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Segmentation-Less, Automated, Vascular Vectorization

Fig 3

Example statistics of the microvasculature calculated from manually assisted SLAVV applied to Image 3.

A. Three-dimensional rendering of strand objects similar to Fig 2B. Size of the image is 600 μm in z, 1350 in x, and 940 y. Projection of the first 70 μm of the original image is shown with the same perspective. B. Cartoon depiction of consecutive cylinder representation of a vessel segment used in calculations. C. Histograms of depth, radius, and inclination (angle from the xy plane). The large peak in the inclination histogram at horizontal alignment is due to low axial resolution (5 μm). Contributions of cylinders to the bins are weighted by their lateral areas. D. Depth-resolved anatomical statistics output from SLAVV. Cylinders are binned by depth. Their heights, lateral areas, and volumes are summed and divided by the image volume apportioned to each bin to yield length, area, and volume densities of vasculature. Average radius and inclination in each depth bin are lateral area-weighted averages.

Fig 3

doi: https://doi.org/10.1371/journal.pcbi.1009451.g003