Atomic force microscopy analysis of nanoparticles in non-ideal conditions
<p>Abstract</p> <p>Nanoparticles are often measured using atomic force microscopy or other scanning probe microscopy methods. For isolated nanoparticles on flat substrates, this is a relatively easy task. However, in real situations, we often need to analyze nanoparticles on rough...
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2011-01-01
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Series: | Nanoscale Research Letters |
Online Access: | http://www.nanoscalereslett.com/content/6/1/514 |
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doaj-d0ab6c223a5640c2a5e040e1e12a08ac2020-11-25T00:27:52ZengSpringerOpenNanoscale Research Letters1931-75731556-276X2011-01-0161514Atomic force microscopy analysis of nanoparticles in non-ideal conditionsNečas DavidSalyk OtaDzik PetrKlapetek PetrValtr Miroslav<p>Abstract</p> <p>Nanoparticles are often measured using atomic force microscopy or other scanning probe microscopy methods. For isolated nanoparticles on flat substrates, this is a relatively easy task. However, in real situations, we often need to analyze nanoparticles on rough substrates or nanoparticles that are not isolated. In this article, we present a simple model for realistic simulations of nanoparticle deposition and we employ this model for modeling nanoparticles on rough substrates. Different modeling conditions (coverage, relaxation after deposition) and convolution with different tip shapes are used to obtain a wide spectrum of virtual AFM nanoparticle images similar to those known from practice. Statistical parameters of nanoparticles are then analyzed using different data processing algorithms in order to show their systematic errors and to estimate uncertainties for atomic force microscopy analysis of nanoparticles under non-ideal conditions. It is shown that the elimination of user influence on the data processing algorithm is a key step for obtaining accurate results while analyzing nanoparticles measured in non-ideal conditions.</p> http://www.nanoscalereslett.com/content/6/1/514 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nečas David Salyk Ota Dzik Petr Klapetek Petr Valtr Miroslav |
spellingShingle |
Nečas David Salyk Ota Dzik Petr Klapetek Petr Valtr Miroslav Atomic force microscopy analysis of nanoparticles in non-ideal conditions Nanoscale Research Letters |
author_facet |
Nečas David Salyk Ota Dzik Petr Klapetek Petr Valtr Miroslav |
author_sort |
Nečas David |
title |
Atomic force microscopy analysis of nanoparticles in non-ideal conditions |
title_short |
Atomic force microscopy analysis of nanoparticles in non-ideal conditions |
title_full |
Atomic force microscopy analysis of nanoparticles in non-ideal conditions |
title_fullStr |
Atomic force microscopy analysis of nanoparticles in non-ideal conditions |
title_full_unstemmed |
Atomic force microscopy analysis of nanoparticles in non-ideal conditions |
title_sort |
atomic force microscopy analysis of nanoparticles in non-ideal conditions |
publisher |
SpringerOpen |
series |
Nanoscale Research Letters |
issn |
1931-7573 1556-276X |
publishDate |
2011-01-01 |
description |
<p>Abstract</p> <p>Nanoparticles are often measured using atomic force microscopy or other scanning probe microscopy methods. For isolated nanoparticles on flat substrates, this is a relatively easy task. However, in real situations, we often need to analyze nanoparticles on rough substrates or nanoparticles that are not isolated. In this article, we present a simple model for realistic simulations of nanoparticle deposition and we employ this model for modeling nanoparticles on rough substrates. Different modeling conditions (coverage, relaxation after deposition) and convolution with different tip shapes are used to obtain a wide spectrum of virtual AFM nanoparticle images similar to those known from practice. Statistical parameters of nanoparticles are then analyzed using different data processing algorithms in order to show their systematic errors and to estimate uncertainties for atomic force microscopy analysis of nanoparticles under non-ideal conditions. It is shown that the elimination of user influence on the data processing algorithm is a key step for obtaining accurate results while analyzing nanoparticles measured in non-ideal conditions.</p> |
url |
http://www.nanoscalereslett.com/content/6/1/514 |
work_keys_str_mv |
AT ne269asdavid atomicforcemicroscopyanalysisofnanoparticlesinnonidealconditions AT salykota atomicforcemicroscopyanalysisofnanoparticlesinnonidealconditions AT dzikpetr atomicforcemicroscopyanalysisofnanoparticlesinnonidealconditions AT klapetekpetr atomicforcemicroscopyanalysisofnanoparticlesinnonidealconditions AT valtrmiroslav atomicforcemicroscopyanalysisofnanoparticlesinnonidealconditions |
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1725338026289135616 |