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Publication detail
NEČAS, D. KLAPETEK, P.
Original Title
Synthetic Data in Quantitative Scanning Probe Microscopy
Type
journal article in Web of Science
Language
English
Original Abstract
Synthetic data are of increasing importance in nanometrology. They can be used for development of data processing methods, analysis of uncertainties and estimation of various measurement artefacts. In this paper we review methods used for their generation and the applications of synthetic data in scanning probe microscopy, focusing on their principles, performance, and applicability. We illustrate the benefits of using synthetic data on different tasks related to development of better scanning approaches and related to estimation of reliability of data processing methods. We demonstrate how the synthetic data can be used to analyse systematic errors that are common to scanning probe microscopy methods, either related to the measurement principle or to the typical data processing paths.
Keywords
nanometrology; data synthesis; scanning probe microscopy
Authors
NEČAS, D.; KLAPETEK, P.
Released
1. 6. 2021
Publisher
MDPI
Location
BASEL
ISBN
2079-4991
Periodical
Nanomaterials
Year of study
11
Number
7
State
Swiss Confederation
Pages from
1
Pages to
26
Pages count
URL
https://www.mdpi.com/2079-4991/11/7/1746
Full text in the Digital Library
http://hdl.handle.net/11012/203015
BibTex
@article{BUT173174, author="David {Nečas} and Petr {Klapetek}", title="Synthetic Data in Quantitative Scanning Probe Microscopy", journal="Nanomaterials", year="2021", volume="11", number="7", pages="1--26", doi="10.3390/nano11071746", issn="2079-4991", url="https://www.mdpi.com/2079-4991/11/7/1746" }