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@article{1169906,
author = {Klapetek, Petr and Nečas, David},
article_location = {Bristol},
article_number = {4},
doi = {http://dx.doi.org/10.1088/0957-0233/25/4/044009},
keywords = {atomic force microscopy; mechanical properties; volume data},
language = {eng},
issn = {0957-0233},
journal = {Measurement Science and Technology},
title = {Independent analysis of mechanical data from atomic force microscopy},
url = {http://stacks.iop.org/0957-0233/25/i=4/a=044009},
volume = {25},
year = {2014}
}
TY - JOUR
ID - 1169906
AU - Klapetek, Petr - Nečas, David
PY - 2014
TI - Independent analysis of mechanical data from atomic force microscopy
JF - Measurement Science and Technology
VL - 25
IS - 4
SP - "nestránkováno"
EP - "nestránkováno"
PB - IOP Pub.
SN - 09570233
KW - atomic force microscopy
KW - mechanical properties
KW - volume data
UR - http://stacks.iop.org/0957-0233/25/i=4/a=044009
L2 - http://stacks.iop.org/0957-0233/25/i=4/a=044009
N2 - Present atomic force microscopes are capable of acquiring large data volumes by point using point force-distance spectroscopic measurements. Even if different trade names and different technical implementations are used, for most of these techniques a force-distance curve in every image pixel is measured, this curve is immediately fitted by some theoretical dependence and results are displayed as a mechanical properties channel (Young modulus, adhesion, etc). Results are processed during the measurement directly in the scanning probe microscopy controller or, after it, by manufacturer provided software. In this paper, we present a software tool for independent numerical processing of such data, including more numerical models for the force–distance curve evaluation and including a simple estimate of uncertainties related to the fitting procedure. This can improve the reliability and the analytical possibilities of mechanical properties mapping methods in an atomic force microscopy.
ER -
KLAPETEK, Petr a David NEČAS. Independent analysis of mechanical data from atomic force microscopy. \textit{Measurement Science and Technology}. Bristol: IOP Pub., 2014, roč.~25, č.~4, s.~''nestránkováno'', 8 s. ISSN~0957-0233. doi:10.1088/0957-0233/25/4/044009.
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