Tootfinder

Overcoming Data Scarcity in Scanning Tunnelling Microscopy Image Segmentation
Nikola L. Kolev, Max Trouton, Filippo Federici Canova, Geoff Thornton, David Z. Gao, Neil J. Curson, Taylor J. Z. Stock
https://arxiv.org/abs/2506.01678

Overcoming Data Scarcity in Scanning Tunnelling Microscopy Image Segmentation
Scanning tunnelling microscopy (STM) is a powerful technique for imaging surfaces with atomic resolution, providing insight into physical and chemical processes at the level of single atoms and molecules. A regular task of STM image analysis is the identification and labelling of features of interest against a uniform background. Performing this manually is a labour-intensive task, requiring significant human effort. To reduce this burden, we propose an automated approach to the segmentation of…