As with the XRD-CT data, the SD2I reconstructions have fewer artefacts than the images obtained with all other methods. It is important to note here the image size; the resulting images are 779 x 779 pixels large. To the best of our knowledge, there is currently no other available self-supervised neural network that can perform direct reconstruction of such large sinograms/images without requiring a tremendous amount of GPU memory. We summarised the number of projections that the SD2Iu used to reconstruct the images shown in the paper and the number of projections that Nyquist sampling theorem dictates in Table . Furthermore, in Figure and Table we also show that the SD2I is able to reconstruct images with 1559 x 1559 pixels which demonstrates the scalability of this new architecture.