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Collaborative micromanipulation using multiple bubble microrobots in an open reservoir

机译:在开放式水库中使用多个气泡微型机器人进行协同微操纵

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摘要

Micromanipulation of bio-microobjects is useful in tissue engineering, and requires high-throughput, scalable, cell-friendly assembly of mesoscale structures with micron resolution. One potential method of achieving such functionality is manipulation by independently actuated multiple microrobots in cell-culture media. In this work, nine opto-thermocapillary flow-addressed bubble (OFB) microrobots were independently actuated in saline solution in an open reservoir. Laser heating generated the bubble microrobots in a fluid medium, and controlled the actuation of the microrobots. The microrobots were controlled using a computer-generated holographic (CGH) control system. The collaborative manipulation of four glass beads was demonstrated using two to three OFB microrobots. The microobjects were transported over several millimetres by moving the microscope stage for coarse motion, and by CGH control for fine actuation of the microrobots. Following transportation, the microobjects were assembled into a particular geometry. Independent actuation of multiple microrobots in saline solution along with collaborative long-range manipulation demonstrates the capability of the system to assemble cell-laden microgels over a large area with potential microscale accuracy, making this suitable for tissue engineering applications. This work also shows that the system is scalable, as tasks can be assigned to the required number of microrobots, and the system is compatible with a traditional open-reservoir cell-culturing environment.
机译:生物微对象的微处理在组织工程中很有用,并且需要高通量,可扩展,细胞友好的中尺度结构的微米分辨率组装。一种实现这种功能的潜在方法是通过在细胞培养基中独立驱动多个微型机器人进行操纵。在这项工作中,在开放式水库的盐溶液中独立驱动了9个光电毛细管流动机器人(OFB)。激光加热在流体介质中产生了气泡微型机器人,并控制了微型机器人的启动。使用计算机生成的全息(CGH)控制系统控制微型机器人。使用两到三个OFB微型机器人演示了四个玻璃珠的协同操纵。通过移动显微镜载物台进行粗略运动,并通过CGH控制来对微型机器人进行精细操作,从而将微型物体运输了几毫米。运输后,将微型物体组装成特定的几何形状。盐溶液中的多个微型机器人的独立致动以及协同的远程操纵证明了该系统具有大面积组装潜在细胞的微凝胶的能力,具有潜在的微尺度精度,使其适合组织工程应用。这项工作还表明,该系统具有可扩展性,因为可以将任务分配给所需数量的微型机器人,并且该系统与传统的开放式水库细胞培养环境兼容。

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