Intelligent acoustofluidics enabled mini-bioreactors for human brain organoids.
Intelligent acoustofluidics enabled mini-bioreactors for human brain organoids.
复制标题
智能声流体使人类大脑类器官的微型生物反应器成为可能。
DOI:
10.1039/d1lc00145k
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发表时间:
2021-06-01
期刊:
影响因子:
6.1
通讯作者:
Guo F
中科院分区:
文献类型:
--
作者:
Cai H;Ao Z;Wu Z;Song S;Mackie K;Guo F
Acoustofluidics, by combining acoustics and microfluidics provides a unique means to manipulate cells and liquids for broad applications in biomedical sciences and translational medicine. However, it is challenging to standardize and maintain excellent performance of current acoustofluidic devices and systems due to a multiplicity of factors including device-to-device variation, manual operation, environmental factors, sample variability, etc. Herein, to address these challenges, we propose “intelligent acoustofluidics” - an automated system that involves acoustofluidic device design, sensor fusion, and intelligent controller integration. As a proof-of-concept, we developed intelligent acoustofluidics based mini-bioreactors for human brain organoid culture. Our mini-bioreactors consist of three components: (1) rotors for contact-free rotational manipulation via an acoustic spiral phase vortex approach, (2) a camera for real-time tracking of rotational actions, and (3) a reinforcement learning-based controller for closed-loop regulation of rotational manipulation. After training the reinforcement learning-based controller in simulation and experimental environments, our mini-bioreactors can achieve the automated rotation of rotors in well-plates. Importantly, our mini-bioreactors can enable excellent control over rotational mode, direction, and speed of rotors, regardless of fluctuations of rotor weight, liquid volume, and operating temperature. Moreover, we demonstrated our mini-bioreactors can stably maintain the rotational speed of brain organoids during long-term culture, and enhance neural differentiation and uniformity of brain organoids. Comparing with current acoustofluidics, our intelligent system has a superior performance in terms of automation, robustness, and accuracy, highlighting the potential of novel intelligent systems in bioelectronics and microfluidics experimentation.
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