Fig. 1 | Scientific Reports

Fig. 1

From: Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney

Fig. 1

Reprint from Walsh et al.16, HiP-CT of kidney; a 3D rendering (i) of the whole organ is shown using scans at 25 μm per voxel. Subsequent 2D slices (ii–iv) show positions of the higher-resolution VOI relative to the previous scan. (v), Digital magnification of the highest-resolution image with annotations depicting characteristic structural features in the kidney (e/a, efferent or afferent arteriole; g, glomerulus) and in the spleen (rp, red pulp; wp, white pulp; a, arteriole; ss, splenic sinus). All images are shown using 2\(\times\) binning.

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