We have used our TEM-ImageNet to train a simple U-net to perform the following operations: intensity-preserving super-resolution processing, atomic-column Gaussian mapping, noise reduction, denoising+background removal, atomic-column segmentation, etc. For more information, please visit our AtomSegNet project website.

The models and the AtomSegNet app are available at https://github.com/xinhuolin/AtomSegNet

Read more at Scientific Reports, 11, 5386 (2021) https://doi.org/10.1038/s41598-021-84499-w