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An open-source experimental framework for automation of cell biology experiments

Pavel Katunin, Ashley Cadby, Anton Nikolaev
doi: https://doi.org/10.1101/2020.07.02.185454
Pavel Katunin
1Fresco labs, London, UK and ITMO University, St. Petersburg, Russia
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Ashley Cadby
2Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
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Anton Nikolaev
3Department of Biological Sciences, University of Sheffield, Sheffield, UK
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  • For correspondence: a.nikolaev@sheffield.ac.uk
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Abstract

Modern data analysis methods, such as deep learning, have been successfully applied to a number of biological and medical questions. For these methods to be efficient, a large number of high quality experiments need to be conducted, which requires a high degree of automation. Here we report an open-source hardware that allows for automatic high-throughput generation of large amounts of biological data. The hardware consists of an automatic XY-stage for moving multiwell plates containing growing cells; a perfusion manifold allowing application (perfusion) of up to 8 different solutions; and a small epifluorescent microscope. It is extremely cheap (£300 without and £2500 with a fluorescent microscope) and can be quickly customised for individual experimental needs.

Key points

  • - We present an open source framework for automation of cell biology experiments

  • - The framework consists of an XY platform, application of up to 8 solutions and a small epifluorescent microscope

  • - Very cheap (£300 without a fluorescent microscope and £2500 with a fluorescent microscope), customisable, 3D printable

  • - Can be used in a variety of biological applications such as imaging of fluorescent reporters, optimisation of treatment conditions and immuno-labelling

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://github.com/frescolabs/FrescoM

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted July 03, 2020.
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An open-source experimental framework for automation of cell biology experiments
Pavel Katunin, Ashley Cadby, Anton Nikolaev
bioRxiv 2020.07.02.185454; doi: https://doi.org/10.1101/2020.07.02.185454
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An open-source experimental framework for automation of cell biology experiments
Pavel Katunin, Ashley Cadby, Anton Nikolaev
bioRxiv 2020.07.02.185454; doi: https://doi.org/10.1101/2020.07.02.185454

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