Democratizing self-driving labs: advances in low-cost 3D printing for laboratory automation

IF 6.2 Q1 CHEMISTRY, MULTIDISCIPLINARY
Sayan Doloi, Maloy Das, Yujia Li, Zen Han Cho, Xingchi Xiao, John V. Hanna, Matthew Osvaldo and Leonard Ng Wei Tat
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Abstract

Laboratory automation through self-driving labs represents a transformative approach to accelerating scientific discovery, particularly in chemical sciences, biological sciences, materials science, and high-throughput experimentation. However, widespread adoption of these technologies faces a significant barrier: the prohibitive costs of commercial automation systems, which can range from tens to hundreds of thousands of dollars. This financial hurdle has created a technological divide, limiting access primarily to well-funded institutions and leaving many research facilities unable to leverage the benefits of automated experimentation. 3D printing technology emerges as a democratizing force in this landscape, offering a revolutionary solution to the accessibility challenge. By enabling the production of customizable laboratory equipment at a fraction of the cost of commercial alternatives, 3D printing is transforming how researchers approach laboratory automation. This approach not only reduces financial barriers but also promotes innovation through open-source designs, allowing researchers to share, modify, and improve upon existing solutions. This review addresses a critical gap in the current literature by exploring both the transformation of low-cost Fused Deposition Modelling (FDM) 3D printers into sophisticated automation platforms and the use of FDM 3D-printed components to develop a broad range of affordable laboratory automation systems. Furthermore, we explore how strategic modifications enable these systems to serve as automatic liquid handlers, robotic arms, automated sample preparation and detection systems, chemical reactionware, automated imaging systems and bioprinting units. The integration of these modified 3D-printed components with machine learning and artificial intelligence algorithms creates unprecedented opportunities for developing accessible, highly flexible self-driving laboratories.

Abstract Image

自动驾驶实验室的民主化:用于实验室自动化的低成本3D打印技术的进展
通过自动驾驶实验室实现的实验室自动化代表了一种加速科学发现的变革性方法,特别是在化学科学、生物科学、材料科学和高通量实验领域。然而,这些技术的广泛采用面临着一个重大障碍:商业自动化系统的高昂成本,从数万美元到数十万美元不等。这一财务障碍造成了技术鸿沟,主要限制了资金充足的机构获得研究成果,并使许多研究机构无法利用自动化实验的好处。3D打印技术作为一股民主化的力量出现在这一领域,为无障碍挑战提供了革命性的解决方案。通过以商业替代品的一小部分成本生产可定制的实验室设备,3D打印正在改变研究人员实现实验室自动化的方式。这种方法不仅减少了财务障碍,而且通过开源设计促进了创新,允许研究人员共享、修改和改进现有的解决方案。本综述通过探索低成本熔融沉积建模(FDM) 3D打印机转变为复杂的自动化平台,以及使用FDM 3D打印组件开发广泛的负担得起的实验室自动化系统,解决了当前文献中的一个关键空白。此外,我们还探讨了战略性修改如何使这些系统成为自动液体处理器、机械臂、自动样品制备和检测系统、化学反应器、自动成像系统和生物打印单元。将这些改进的3d打印组件与机器学习和人工智能算法相结合,为开发可访问的、高度灵活的自动驾驶实验室创造了前所未有的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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