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

arXiv 2203.01998 ↗First posted 3 Mar 2022cond-mat.mes-hall cs.CVcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 1 of its 25 references that are in the map. First posted on arXiv 3 Mar 2022.

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References · 1

  1. 2017ImageJ2: ImageJ for the next generation of scientific image datacited by 14

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