Open Hardware for Microfluidics: Exploiting Raspberry Pi Singleboard Computer and Camera Systems for Customisable Laboratory Instrumentation.

IF 4.9 3区 工程技术 Q1 CHEMISTRY, ANALYTICAL Biosensors-Basel Pub Date : 2023-10-23 DOI:10.3390/bios13100948
Rüya Meltem Sarıyer, Alexander Daniel Edwards, Sarah Helen Needs
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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.

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微流体开放硬件:利用Raspberry Pi单板计算机和相机系统实现可定制的实验室仪器。
树莓派微型计算机系统与微流体的集成彻底改变了生命科学实验室低成本和可定制分析系统的开发。这篇综述探讨了树莓派在微流体中的应用,重点是成像,包括显微镜和自动图像捕获。通过利用树莓派成分的低成本、灵活性和可及性,在哺乳动物和细菌的直接细胞成像以及大量基于图像的生化和分子分析中实现了高分辨率成像和分析,从免疫分析、微生物生长到核酸方法,如实时qPCR。Raspberry Pi硬件允许的图像捕获控制也可以与板载图像分析相结合。开源硬件提供了一个以商业设备的一小部分成本开发复杂实验室仪器系统的机会,重要的是,还提供了一种完全定制以满足用户需求的机会。然而,这些好处是有代价的:对于那些希望在自己的工作中使用开源硬件设备的人来说,仍然存在挑战,包括对施工和操作员技能的要求、对良好文档的需求以及3D打印等快速原型以及其他组件的可用性。开源硬件的这些进步有可能提高基于微流体的实验和应用的效率、可访问性和成本效益。
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来源期刊
Biosensors-Basel
Biosensors-Basel Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
6.60
自引率
14.80%
发文量
983
审稿时长
11 weeks
期刊介绍: Biosensors (ISSN 2079-6374) provides an advanced forum for studies related to the science and technology of biosensors and biosensing. It publishes original research papers, comprehensive reviews and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.
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