Open Hardware for Microfluidics: Exploiting Raspberry Pi Singleboard Computer and Camera Systems for Customisable Laboratory Instrumentation
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Published:2023-10-23
Issue:10
Volume:13
Page:948
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ISSN:2079-6374
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Container-title:Biosensors
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language:en
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Short-container-title:Biosensors
Author:
Sarıyer Rüya Meltem1ORCID, Edwards Alexander Daniel2ORCID, Needs Sarah Helen1ORCID
Affiliation:
1. School of Pharmacy, University of Reading, Reading RG6 6DX, UK 2. School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK
Abstract
The integration of Raspberry Pi miniature computer systems with microfluidics has revolutionised the development of low-cost and customizable analytical systems in life science laboratories. This review explores the applications of Raspberry Pi in microfluidics, with a focus on imaging, including microscopy and automated image capture. By leveraging the low cost, flexibility and accessibility of Raspberry Pi components, high-resolution imaging and analysis have been achieved in direct mammalian and bacterial cellular imaging and a plethora of image-based biochemical and molecular assays, from immunoassays, through microbial growth, to nucleic acid methods such as real-time-qPCR. The control of image capture permitted by Raspberry Pi hardware can also be combined with onboard image analysis. Open-source hardware offers an opportunity to develop complex laboratory instrumentation systems at a fraction of the cost of commercial equipment and, importantly, offers an opportunity for complete customisation to meet the users’ needs. However, these benefits come with a trade-off: challenges remain for those wishing to incorporate open-source hardware equipment in their own work, including requirements for construction and operator skill, the need for good documentation and the availability of rapid prototyping such as 3D printing plus other components. These advances in open-source hardware have the potential to improve the efficiency, accessibility, and cost-effectiveness of microfluidic-based experiments and applications.
Funder
National Institute for Health Research
Subject
Clinical Biochemistry,General Medicine,Analytical Chemistry,Biotechnology,Instrumentation,Biomedical Engineering,Engineering (miscellaneous)
Reference71 articles.
1. Parnamets, K., Koel, A., Pardy, T., and Rang, T. (2022, January 13–15). Open Source Hardware Cost-Effective Imaging Sensors for High-Throughput Droplet Microfluidic Systems. Proceedings of the 2022 26th International Conference Electronics, Palanga, Lithuania. 2. Nuñez, I., Matute, T., Herrera, R., Keymer, J., Marzullo, T., Rudge, T., and Federici, F. (2017). Low cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering. PLoS ONE, 12. 3. Laboratory equipment: Cut costs with open-source hardware;Pearce;Nature,2014 4. Baden, T., Chagas, A.M., Gage, G., Marzullo, T., Prieto-Godino, L.L., and Euler, T. (2015). Open Labware: 3-D Printing Your Own Lab Equipment. PLoS Biol., 13. 5. Impacts of Open Source Hardware in Science and Engineering;Pearce;Bridge,2017
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