scholarly journals Optical manipulation of a dielectric particle along polygonal closed-loop geometries within a single water droplet

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Junbum Park ◽  
Seongjin Hong ◽  
Yong Soo Lee ◽  
Hyeonwoo Lee ◽  
Seokjin Kim ◽  
...  

AbstractWe report a new method to optically manipulate a single dielectric particle along closed-loop polygonal trajectories by crossing a suite of all-fiber Bessel-like beams within a single water droplet. Exploiting optical radiation pressure, this method demonstrates the circulation of a single polystyrene bead in both a triangular and a rectangle geometry enabling the trapped particle to undergo multiple circulations successfully. The crossing of the Bessel-like beams creates polygonal corners where the trapped particles successfully make abrupt turns with acute angles, which is a novel capability in microfluidics. This offers an optofluidic paradigm for particle transport overcoming turbulences in conventional microfluidic chips.

Lab on a Chip ◽  
2014 ◽  
Vol 14 (18) ◽  
pp. 3525-3529 ◽  
Author(s):  
Olivier Emile ◽  
Janine Emile

We report on the vibration of a thin soap film based on the optical radiation pressure force.


2019 ◽  
Vol 39 (4) ◽  
pp. 476-489 ◽  
Author(s):  
Antoine Barbot ◽  
Dominique Decanini ◽  
Gilgueng Hwang

Helical microrobots with dimensions below 100 µm could serve many applications for manipulation and sensing in small, closed environments such as blood vessels or inside microfluidic chips. However, environmental conditions such as surface stiction from the channel wall or local flow can quickly result in the loss of control of the microrobot, especially for untrained users. Therefore, to automatically adapt to changing conditions, we propose an algorithm that switches between a surface-based motion of the microrobot and a 3D swimming motion depending on the local flow value. Indeed swimming is better for avoiding obstacles and difficult surface stiction areas but it is more sensitive to the flow than surface motion such as rolling or spintop motion. First, we prove the flow sensing ability of helical microrobots based on the difference between the tracked and theoretical speed. For this, a 50 µm long and 5 µm diameter helical microrobot measures the flow profile shape in two different microchannels. These measurements are then compared with simulation results. Then, we demonstrate both swimming and surface-based motion using closed-loop control. Finally, we test our algorithm by following a 2D path using closed-loop control, and adapting the type of motion depending on the flow speed measured by the microrobot. Such results could enable simple high-level control that could expand the development of microrobots toward applications in complex microfluidic environments.


2020 ◽  
Vol 373 ◽  
pp. 142-146
Author(s):  
Youfei Zhang ◽  
Yaowen Xing ◽  
Shihao Ding ◽  
Yijun Cao ◽  
Xiahui Gui

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