Table 2.

Image metrics for each channel for the two models.

Imaging channel	Model	SSIM	PSNR	MSE	MAE	PCC
DNA	U-Net cWGAN-GP	0.38 ± 0.13 0.39 ± 0.14	51.8 ± 1.7 52.4 ± 1.5	0.45 ± 0.12 0.39 ± 0.10	0.41 ± 0.05 0.39 ± 0.04	0.90 ± 0.06 0.90 ± 0.06
ER	U-Net cWGAN-GP	0.49 ± 0.09 0.48 ± 0.09	48.0 ± 1.3 47.8 ± 1.3	1.07 ± 0.30 1.12 ± 0.32	0.58 ± 0.09 0.61 ± 0.09	0.86 ± 0.06 0.87 ± 0.06
RNA	U-Net cWGAN-GP	0.59 ± 0.07 0.60 ± 0.07	56.0 ± 1.6 56.3 ± 1.7	0.18 ± 0.09 0.17 ± 0.10	0.27 ± 0.06 0.26 ± 0.06	0.92 ± 0.06 0.92 ± 0.06
AGP	U-Net cWGAN-GP	0.35 ± 0.08 0.37 ± 0.09	52.4 ± 1.8 54.7 ± 1.3	0.27 ± 0.10 0.23 ± 0.09	0.39 ± 0.06 0.34 ± 0.06	0.80 ± 0.07 0.82 ± 0.06
Mito	U-Net cWGAN-GP	0.31 ± 0.06 0.35 ± 0.06	50.5 ± 1.1 53.1 ± 1.4	0.34 ± 0.08 0.34 ± 0.12	0.42 ± 0.05 0.36 ± 0.04	0.74 ± 0.08 0.70 ± 0.08

The best performing model for each channel metric is highlighted in bold.