{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/counting-molecules-python-based-scheme-for","title":"Counting Molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy images","arxiv_id":"2203.01998","date":"2022-03-03","proceeding":null,"authors":["Jack Hellerstedt","Aleš Cahlík","Martin Švec","Oleksandr Stetsovych","Tyler Hennen"],"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$\\times$10 to 100$\\times$100 nm) scanned probe images.","url_abs":"https://arxiv.org/abs/2203.01998v1","url_pdf":"https://arxiv.org/pdf/2203.01998v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"counting-molecules-python-based-scheme-for","repo_url":"https://github.com/thennen/counting-molecules","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}