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

0561074 - FZÚ 2023 RIV NL eng J - Journal Article
Hellerstedt, Jack - Cahlík, Aleš - Švec, Martin - Stetsovych, Oleksandr - Hennen, T.
Counting molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy images.
SOFTWARE IMPACTS. Roč. 12, May (2022), č. článku 100301. ISSN 2665-9638
Institutional support: RVO:68378271
Keywords : scanning tunneling microscopy * python * molecules * counting
OECD category: Condensed matter physics (including formerly solid state physics, supercond.)
Impact factor: 2.1, year: 2022
Method of publishing: Open access

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 × 10 to 100 × 100 nm) scanned probe images.
Permanent Link: https://hdl.handle.net/11104/0333922