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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Main Authors: Ne&#269;as David, Salyk Ota, Dzik Petr, Klapetek Petr, Valtr Miroslav
Format: Article
Language:English
Published: SpringerOpen 2011-01-01
Series:Nanoscale Research Letters
Online Access:http://www.nanoscalereslett.com/content/6/1/514
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spelling doaj-d0ab6c223a5640c2a5e040e1e12a08ac2020-11-25T00:27:52ZengSpringerOpenNanoscale Research Letters1931-75731556-276X2011-01-0161514Atomic force microscopy analysis of nanoparticles in non-ideal conditionsNe&#269;as 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 Ne&#269;as David
Salyk Ota
Dzik Petr
Klapetek Petr
Valtr Miroslav
spellingShingle Ne&#269;as David
Salyk Ota
Dzik Petr
Klapetek Petr
Valtr Miroslav
Atomic force microscopy analysis of nanoparticles in non-ideal conditions
Nanoscale Research Letters
author_facet Ne&#269;as David
Salyk Ota
Dzik Petr
Klapetek Petr
Valtr Miroslav
author_sort Ne&#269;as 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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