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Fig. 1.

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Publication: Kugler et al., 2022 - Zebrafish Vascular Quantification (ZVQ): a tool for quantification of three-dimensional zebrafish cerebrovascular architecture by automated image analysis
All Figures: Figures for Kugler et al., 2022

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Fig. 1.

ZVQ workflow overview. (A) Workflow of ZVQ. First, the original images (O_n) are motion corrected, enhanced (E_n) and segmented (Se_n). Registration to template embryo brings all embryos into one spatial coordinate system (Re_n), allowing quantification of similarity (S_n), and is followed by the generation of a population average map (PAM). For examination of specific regions of vascular development, a region of interest (ROI) can be specified. Following ROI extraction, volume (V_n), surface voxel (A_n) and vascular density (ρ_n) are quantified. Euclidean distance maps (EDM_n) are combined with vascular skeletons (Sk_n) to quantify radius in skeletonised distance maps (SDM_n and R_n), which are also used to quantify network length (L_n), branching points (BP_n) and complexity (C_n) via Sholl analysis. (B) Schematic of the vascular parameters extracted by ZVQ.

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