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

arXiv: https://arxiv.org/abs/2203.01998 · HTML: https://mlsanity.com/paper/2203.01998/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 25 references that are in the map.
- First posted on arXiv 3 Mar 2022.

## Builds on (most cited first, 1 of 1)

- [ImageJ2: ImageJ for the next generation of scientific image data](https://mlsanity.com/paper/1701.05940/) (2017)

## Built on by (most cited first, 1 of 1)

- [Overcoming Labelled Data Scarcity for Defect Classification in Scanning Tunneling Microscopy](https://mlsanity.com/paper/2506.01678/) (2025)

## 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.