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An Open-Source Framework for Automated High-Throughput Cell Biology Experiments

Modern data analysis methods, such as optimization algorithms or deep learning have been successfully applied to a number of biotechnological and medical questions. For these methods to be efficient, a large number of high-quality and reproducible experiments needs to be conducted, requiring a high...

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Autores principales: Katunin, Pavel, Zhou, Jianbo, Shehata, Ola M., Peden, Andrew A., Cadby, Ashley, Nikolaev, Anton
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8498207/
https://www.ncbi.nlm.nih.gov/pubmed/34631697
http://dx.doi.org/10.3389/fcell.2021.697584
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author Katunin, Pavel
Zhou, Jianbo
Shehata, Ola M.
Peden, Andrew A.
Cadby, Ashley
Nikolaev, Anton
author_facet Katunin, Pavel
Zhou, Jianbo
Shehata, Ola M.
Peden, Andrew A.
Cadby, Ashley
Nikolaev, Anton
author_sort Katunin, Pavel
collection PubMed
description Modern data analysis methods, such as optimization algorithms or deep learning have been successfully applied to a number of biotechnological and medical questions. For these methods to be efficient, a large number of high-quality and reproducible experiments needs to be conducted, requiring a high degree of automation. Here, we present an open-source hardware and low-cost framework that allows for automatic high-throughput generation of large amounts of cell biology data. Our design consists of an epifluorescent microscope with automated XY stage for moving a multiwell plate containing cells and a perfusion manifold allowing programmed application of up to eight different solutions. Our system is very flexible and can be adapted easily for individual experimental needs. To demonstrate the utility of the system, we have used it to perform high-throughput Ca(2+) imaging and large-scale fluorescent labeling experiments.
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spelling pubmed-84982072021-10-09 An Open-Source Framework for Automated High-Throughput Cell Biology Experiments Katunin, Pavel Zhou, Jianbo Shehata, Ola M. Peden, Andrew A. Cadby, Ashley Nikolaev, Anton Front Cell Dev Biol Cell and Developmental Biology Modern data analysis methods, such as optimization algorithms or deep learning have been successfully applied to a number of biotechnological and medical questions. For these methods to be efficient, a large number of high-quality and reproducible experiments needs to be conducted, requiring a high degree of automation. Here, we present an open-source hardware and low-cost framework that allows for automatic high-throughput generation of large amounts of cell biology data. Our design consists of an epifluorescent microscope with automated XY stage for moving a multiwell plate containing cells and a perfusion manifold allowing programmed application of up to eight different solutions. Our system is very flexible and can be adapted easily for individual experimental needs. To demonstrate the utility of the system, we have used it to perform high-throughput Ca(2+) imaging and large-scale fluorescent labeling experiments. Frontiers Media S.A. 2021-09-24 /pmc/articles/PMC8498207/ /pubmed/34631697 http://dx.doi.org/10.3389/fcell.2021.697584 Text en Copyright © 2021 Katunin, Zhou, Shehata, Peden, Cadby and Nikolaev. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cell and Developmental Biology
Katunin, Pavel
Zhou, Jianbo
Shehata, Ola M.
Peden, Andrew A.
Cadby, Ashley
Nikolaev, Anton
An Open-Source Framework for Automated High-Throughput Cell Biology Experiments
title An Open-Source Framework for Automated High-Throughput Cell Biology Experiments
title_full An Open-Source Framework for Automated High-Throughput Cell Biology Experiments
title_fullStr An Open-Source Framework for Automated High-Throughput Cell Biology Experiments
title_full_unstemmed An Open-Source Framework for Automated High-Throughput Cell Biology Experiments
title_short An Open-Source Framework for Automated High-Throughput Cell Biology Experiments
title_sort open-source framework for automated high-throughput cell biology experiments
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8498207/
https://www.ncbi.nlm.nih.gov/pubmed/34631697
http://dx.doi.org/10.3389/fcell.2021.697584
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