English

Counting Molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy images

Mesoscale and Nanoscale Physics 2022-05-12 v1 Computer Vision and Pattern Recognition

Abstract

Scanning tunneling and atomic force microscopies (STM/nc-AFM) are rapidly progressing to offer unprecedented spatial resolution of a diverse array of chemical species. In particular, they are employed to characterize on-surface chemical reactions by directly examining precursors and products. Chiral effects and self-assembled structures can also be investigated. This open source, modular, python based scheme automates the categorization of a variety of molecules present in medium sized (10×\times10 to 100×\times100 nm) scanned probe images.

Keywords

Cite

@article{arxiv.2203.01998,
  title  = {Counting Molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy images},
  author = {Jack Hellerstedt and Aleš Cahlík and Martin Švec and Oleksandr Stetsovych and Tyler Hennen},
  journal= {arXiv preprint arXiv:2203.01998},
  year   = {2022}
}
R2 v1 2026-06-24T10:01:27.934Z