Erben Elena, Liao Weida, Minopoli Antonio, Maghelli Nicola, Lauga Eric, Kreysing Moritz
Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, 01307, Germany.
Center for Systems Biology, Dresden, 01307, Germany.
Light Sci Appl. 2024 Feb 27;13(1):59. doi: 10.1038/s41377-024-01406-4.
Techniques for high-definition micromanipulations, such as optical tweezers, hold substantial interest across a wide range of disciplines. However, their applicability remains constrained by material properties and laser exposure. And while microfluidic manipulations have been suggested as an alternative, their inherent capabilities are limited and further hindered by practical challenges of implementation and control. Here we show that the iterative application of laser-induced, localized flow fields can be used for the relative positioning of multiple micro-particles, irrespectively of their material properties. Compared to the standing theoretical proposal, our method keeps particles mobile, and we show that their precision manipulation is non-linearly accelerated via the multiplexing of temperature stimuli below the heat diffusion limit. The resulting flow fields are topologically rich and mathematically predictable. They represent unprecedented microfluidic control capabilities that are illustrated by the actuation of humanoid micro-robots with up to 30 degrees of freedom, whose motions are sufficiently well-defined to reliably communicate personal characteristics such as gender, happiness and nervousness. Our results constitute high-definition micro-fluidic manipulations with transformative potential for assembly, micro-manufacturing, the life sciences, robotics and opto-hydraulically actuated micro-factories.
诸如光镊等高清微操纵技术在广泛的学科领域中引起了极大的兴趣。然而,它们的适用性仍然受到材料特性和激光照射的限制。虽然有人提出微流体操纵作为一种替代方法,但其固有能力有限,并且在实施和控制的实际挑战面前进一步受阻。在这里,我们表明,激光诱导的局部流场的迭代应用可用于多个微粒的相对定位,而与它们的材料特性无关。与现有的理论方案相比,我们的方法使粒子保持移动状态,并且我们表明,通过低于热扩散极限的温度刺激的复用,它们的精确操纵以非线性方式加速。由此产生的流场在拓扑结构上丰富且在数学上可预测。它们代表了前所未有的微流体控制能力,人形微型机器人的高达30个自由度的驱动对此进行了说明,其运动定义得足够清晰,能够可靠地传达诸如性别、快乐和紧张等个人特征。我们的结果构成了具有在组装、微制造、生命科学、机器人技术和光液压驱动的微型工厂方面变革潜力的高清微流体操纵。