TopoStats - a program for automated tracing of biomolecules from AFM images

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Názov: TopoStats - a program for automated tracing of biomolecules from AFM images
Autori: Beton, JG, Moorehead, R, Helfmann, L, Gray, R, Hoogenboom, BW, Praveen Joseph, A, Topf, M, Pyne, ALB
Zdroj: Methods , 193 pp. 68-79. (2021)
Rok vydania: 2021
Zbierka: University College London: UCL Discovery
Predmety: Atomic Force Microscopy (AFM), DNA, biomolecular structure, image analysis, python scripting, single-molecule imaging
Popis: We present TopoStats, a Python toolkit for automated editing and analysis of Atomic Force Microscopy images. The program automates identification and tracing of individual molecules in circular and linear conformations without user input. TopoStats was able to identify and trace a range of molecules within AFM images, finding, on average, ∼90% of all individual molecules and molecular assemblies within a wide field of view, and without the need for prior processing. DNA minicircles of varying size, DNA origami rings and pore forming proteins were identified and accurately traced with contour lengths of traces typically within 10 nm of the predicted contour length. TopoStats was also able to reliably identify and trace linear and enclosed circular molecules within a mixed population. The program is freely available via GitHub (https://github.com/afm-spm/TopoStats) and is intended to be modified and adapted for use if required.
Druh dokumentu: article in journal/newspaper
Popis súboru: text
Jazyk: English
Relation: https://discovery.ucl.ac.uk/id/eprint/10121535/
Dostupnosť: https://discovery.ucl.ac.uk/id/eprint/10121535/1/1-s2.0-S1046202321000207-main.pdf
https://discovery.ucl.ac.uk/id/eprint/10121535/
Rights: open
Prístupové číslo: edsbas.A7135AC
Databáza: BASE
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