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. 2021 Nov;32(11):2795–2813. doi: 10.1681/ASN.2021050630

Table 4.

Comparison of podocyte mean nuclear caliper diameters and CF values extracted from ground-truth podocytes from IF/IHC images and podocyte nuclei extracted by the deep learning networks from PAS images

Species Disease State Ground-Truth on the Basis of Manual Counts from IF/IHC Images On the Basis of CNN Predictions from PAS Images On the Basis of pix2pix Predictions from PAS Images
DIF/IHC (µm) CF IF/IHC PDIF/IHC (n/104 µm3) DCNN (µm) CF CNN PDCNN (n/104 µm3) Dpix2pix (µm) CF pix2pix PDpix2pix (n/104 µm3)
Mouse Control 6.43 0.32 2.42 6.84 0.30 3.24 8.19 0.27 1.81
Mouse NTN 7.08 0.30 1.47 6.19 0.33 1.93 8.12 0.27 1.06
Rat Control 7.95 0.20 0.97 7.17 0.22 1.37 7.96 0.20 0.95
Rat PAN 8.37 0.19 0.98 7.20 0.22 1.43 7.47 0.21 0.95
Human Biopsy 7.96 0.20 1.84 8.25 0.20 2.05 9.25 0.18 1.72
Human Autopsy 9.64 0.29 0.56 10.12 0.28 0.60 11.53 0.26 0.47

The absolute error in CF values on the basis of true nuclear D extracted from PAS and IF/IHC images are shown. The results indicate that both networks generate podocyte volume densities that are similar to the ground-truth. PD, podocyte volume density; NTN, nephrotoxic nephritis.