Article (Scientific journals)
PyfastSPM: A Python package to convert 1D FastSPM data streams into publication quality movies
Briegel, K.D.; Riccius, F.; Filser, J. et al.
2023In SoftwareX, 21, p. 101269
Peer Reviewed verified by ORBi Dataset
 

Files


Full Text
SoftwareX-21-2023-101269.pdf
Publisher postprint (1.23 MB) Creative Commons License - Attribution
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
scanning tunneling microscopy; surface science; video rate; fast scanning probe miscroscopy; fast scanning tunneling microscopy; Python; Python programming; Python software; Python package; Hierarchical Data Format (HDF); HDF5; Hierarchical Data Format; scanning probe microscopy; atomic force microscopy; STM; AFM
Abstract :
[en] Since the invention of scanning probe microscopy, researchers have desired to use this technique to monitor sub-second surface dynamics with atomic spatial resolution. A recently presented add-on electronics module enables the speed-up of existing, conventional scanning probe microscopes without any modification of the actual instrument. The resulting one-dimensional (1D) data stream, recorded while the tip oscillates in a sinusoidal motion, has to be reconstructed into a layered rectangular matrix in order to visualize the movie. The Python-based pyfastspm package performs this conversion, while also correcting for sample tilt, noise frequencies, piezo creep, and thermal drift. Quick automatic conversion even of considerable batches of data is achieved by efficient algorithms that bundle time-expensive steps, such as interpolation based on Delaunay triangulation.
Disciplines :
Physics
Author, co-author :
Briegel, K.D.
Riccius, F.
Filser, J.
Bourgund, A.
Spitzenpfeil, R.
PANIGHEL, Mirco  ;  CNR - Istituto Officina dei Materiali (IOM), Trieste, Laboratorio TASC, Strada Statale 14, km 163.5, 34149 Basovizza, Italy
Dri, C.
Lechner, B.A.J.
Esch, F.
External co-authors :
yes
Language :
English
Title :
PyfastSPM: A Python package to convert 1D FastSPM data streams into publication quality movies
Publication date :
2023
Journal title :
SoftwareX
eISSN :
2352-7110
Volume :
21
Pages :
101269
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Physics and Materials Science
European Projects :
H2020 - 101007417 - NEP - Nanoscience Foundries and Fine Analysis - Europe|PILOT
H2020 - 654360 - NFFA-Europe - NANOSCIENCE FOUNDRIES AND FINE ANALYSIS - EUROPE
Funders :
Union Européenne
Funding text :
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 654360 and 101007417 within the framework of the NFFA-Europe and NFFA-Europe Pilot Joint Activities. The experimental work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy EXC 2089/1-390776260 and project numbers ES 349/5-2 and ES 349/4-1). B.A.J.L. gratefully acknowledges financial support from the Young Academy of the Bavarian Academy of Sciences and Humanities, Germany .
Available on ORBilu :
since 01 August 2024

Statistics


Number of views
28 (1 by Unilu)
Number of downloads
12 (0 by Unilu)

Scopus citations®
 
7
Scopus citations®
without self-citations
3
OpenCitations
 
1
OpenAlex citations
 
7

Bibliography


Similar publications



Contact ORBilu