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Automation of an atomic force microscope via Arduino

The Atomic Force Microscopy is a very versatile technique that allows to characterize surfaces by acquiring topographies with sub-nanometer resolution. This technique often overcomes the problems and capabilities of electron microscopy when characterizing few nanometers thin coatings over solid subs...

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Autores principales: Guerrero-Felix, Jesus Gerardo, Lopez-Miras, Javier, Rodriguez-Valverde, Miguel Angel, Moraila-Martinez, Carmen Lucia, Fernandez-Rodriguez, Miguel Angel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372894/
https://www.ncbi.nlm.nih.gov/pubmed/37521147
http://dx.doi.org/10.1016/j.ohx.2023.e00447
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author Guerrero-Felix, Jesus Gerardo
Lopez-Miras, Javier
Rodriguez-Valverde, Miguel Angel
Moraila-Martinez, Carmen Lucia
Fernandez-Rodriguez, Miguel Angel
author_facet Guerrero-Felix, Jesus Gerardo
Lopez-Miras, Javier
Rodriguez-Valverde, Miguel Angel
Moraila-Martinez, Carmen Lucia
Fernandez-Rodriguez, Miguel Angel
author_sort Guerrero-Felix, Jesus Gerardo
collection PubMed
description The Atomic Force Microscopy is a very versatile technique that allows to characterize surfaces by acquiring topographies with sub-nanometer resolution. This technique often overcomes the problems and capabilities of electron microscopy when characterizing few nanometers thin coatings over solid substrates. They are expensive, in the half million dollar range for standard units, and therefore it is often difficult to upgrade to new units with improved characteristics. One of these improvements, motorization and automation of the measurements is very interesting to sample different parts of a substrate in an unattended way. Here we report a low cost upgrade under 60 $ to a Dimension 3000 AFM based on a control unit using an Arduino Leonardo. It enables to acquire dozens or hundreds of images automatically by mimicking keyboard shortcuts and interfacing the AFM PCI card.
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spelling pubmed-103728942023-07-28 Automation of an atomic force microscope via Arduino Guerrero-Felix, Jesus Gerardo Lopez-Miras, Javier Rodriguez-Valverde, Miguel Angel Moraila-Martinez, Carmen Lucia Fernandez-Rodriguez, Miguel Angel HardwareX Article The Atomic Force Microscopy is a very versatile technique that allows to characterize surfaces by acquiring topographies with sub-nanometer resolution. This technique often overcomes the problems and capabilities of electron microscopy when characterizing few nanometers thin coatings over solid substrates. They are expensive, in the half million dollar range for standard units, and therefore it is often difficult to upgrade to new units with improved characteristics. One of these improvements, motorization and automation of the measurements is very interesting to sample different parts of a substrate in an unattended way. Here we report a low cost upgrade under 60 $ to a Dimension 3000 AFM based on a control unit using an Arduino Leonardo. It enables to acquire dozens or hundreds of images automatically by mimicking keyboard shortcuts and interfacing the AFM PCI card. Elsevier 2023-06-29 /pmc/articles/PMC10372894/ /pubmed/37521147 http://dx.doi.org/10.1016/j.ohx.2023.e00447 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Guerrero-Felix, Jesus Gerardo
Lopez-Miras, Javier
Rodriguez-Valverde, Miguel Angel
Moraila-Martinez, Carmen Lucia
Fernandez-Rodriguez, Miguel Angel
Automation of an atomic force microscope via Arduino
title Automation of an atomic force microscope via Arduino
title_full Automation of an atomic force microscope via Arduino
title_fullStr Automation of an atomic force microscope via Arduino
title_full_unstemmed Automation of an atomic force microscope via Arduino
title_short Automation of an atomic force microscope via Arduino
title_sort automation of an atomic force microscope via arduino
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372894/
https://www.ncbi.nlm.nih.gov/pubmed/37521147
http://dx.doi.org/10.1016/j.ohx.2023.e00447
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