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OpenWorkstation: A modular open-source technology for automated in vitro workflows

Automation liberates scientific staff from repetitive tasks, decreases the probability of human error and consequently enhances the reproducibility of lab experiments. However, the use of laboratory automation in academic laboratories is limited due to high acquisition costs and the inability to cus...

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Detalles Bibliográficos
Autores principales: Eggert, Sebastian, Mieszczanek, Pawel, Meinert, Christoph, Hutmacher, Dietmar W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9041211/
https://www.ncbi.nlm.nih.gov/pubmed/35498237
http://dx.doi.org/10.1016/j.ohx.2020.e00152
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author Eggert, Sebastian
Mieszczanek, Pawel
Meinert, Christoph
Hutmacher, Dietmar W
author_facet Eggert, Sebastian
Mieszczanek, Pawel
Meinert, Christoph
Hutmacher, Dietmar W
author_sort Eggert, Sebastian
collection PubMed
description Automation liberates scientific staff from repetitive tasks, decreases the probability of human error and consequently enhances the reproducibility of lab experiments. However, the use of laboratory automation in academic laboratories is limited due to high acquisition costs and the inability to customize off-the-shelf hardware. To address these challenges, we present an Open Source Hardware concept, referred to as OpenWorkstation, to build an assembly line-inspired platform consisting of ready-to-use and customizable modules. In contrast to current standalone solutions, the OpenWorkstation concept enables the combination of single hardware modules – each with a specific set of functionalities – to a modular workstation to provide a fully automated setup. The base setup consists of a pipetting and transport module and is designed to execute basic protocol steps for in vitro research applications, including pipetting operations for liquids and viscous substances and transportation of cell culture vessels between the modules. We demonstrate the successful application of this concept within a case study by the development of a storage module to facilitate high-throughput studies and a photo-crosslinker module to initiate photo-induced polymerization of hydrogel solutions. We present a Systems Engineering framework for customized module development, guidance for the design and assembly of the presented modules, and operational instructions on the usage of the workstation. By combining capabilities from various open source instrumentations into a modular technology platform, the OpenWorkstation concept will facilitate efficient and reliable experimentation for in vitro research. Ultimately, this concept will allow academic groups to improve replicability and reproducibility in cell culture process operations towards more economical and innovative research in the future.
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spelling pubmed-90412112022-04-27 OpenWorkstation: A modular open-source technology for automated in vitro workflows Eggert, Sebastian Mieszczanek, Pawel Meinert, Christoph Hutmacher, Dietmar W HardwareX Article Automation liberates scientific staff from repetitive tasks, decreases the probability of human error and consequently enhances the reproducibility of lab experiments. However, the use of laboratory automation in academic laboratories is limited due to high acquisition costs and the inability to customize off-the-shelf hardware. To address these challenges, we present an Open Source Hardware concept, referred to as OpenWorkstation, to build an assembly line-inspired platform consisting of ready-to-use and customizable modules. In contrast to current standalone solutions, the OpenWorkstation concept enables the combination of single hardware modules – each with a specific set of functionalities – to a modular workstation to provide a fully automated setup. The base setup consists of a pipetting and transport module and is designed to execute basic protocol steps for in vitro research applications, including pipetting operations for liquids and viscous substances and transportation of cell culture vessels between the modules. We demonstrate the successful application of this concept within a case study by the development of a storage module to facilitate high-throughput studies and a photo-crosslinker module to initiate photo-induced polymerization of hydrogel solutions. We present a Systems Engineering framework for customized module development, guidance for the design and assembly of the presented modules, and operational instructions on the usage of the workstation. By combining capabilities from various open source instrumentations into a modular technology platform, the OpenWorkstation concept will facilitate efficient and reliable experimentation for in vitro research. Ultimately, this concept will allow academic groups to improve replicability and reproducibility in cell culture process operations towards more economical and innovative research in the future. Elsevier 2020-10-20 /pmc/articles/PMC9041211/ /pubmed/35498237 http://dx.doi.org/10.1016/j.ohx.2020.e00152 Text en © 2020 The Authors 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
Eggert, Sebastian
Mieszczanek, Pawel
Meinert, Christoph
Hutmacher, Dietmar W
OpenWorkstation: A modular open-source technology for automated in vitro workflows
title OpenWorkstation: A modular open-source technology for automated in vitro workflows
title_full OpenWorkstation: A modular open-source technology for automated in vitro workflows
title_fullStr OpenWorkstation: A modular open-source technology for automated in vitro workflows
title_full_unstemmed OpenWorkstation: A modular open-source technology for automated in vitro workflows
title_short OpenWorkstation: A modular open-source technology for automated in vitro workflows
title_sort openworkstation: a modular open-source technology for automated in vitro workflows
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9041211/
https://www.ncbi.nlm.nih.gov/pubmed/35498237
http://dx.doi.org/10.1016/j.ohx.2020.e00152
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