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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F22%3A00561074" target="_blank" >RIV/68378271:_____/22:00561074 - isvavai.cz</a>
Result on the web
<a href="https://hdl.handle.net/11104/0333922" target="_blank" >https://hdl.handle.net/11104/0333922</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.simpa.2022.100301" target="_blank" >10.1016/j.simpa.2022.100301</a>

Result language
angličtina
Original language name
Counting molecules: Python based scheme for automated enumeration and categorization of molecules in scanning tunneling microscopy images
Original language description
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.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10302 - Condensed matter physics (including formerly solid state physics, supercond.)

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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