Related Experiment Video
Updated: Aug 7, 2026

11:06
Design and Fabrication of an Elastomeric Unit for Soft Modular Robots in Minimally Invasive Surgery
Published on: November 14, 2015
Finite element modeling of a microparticle manipulator
Adrian Neild1, Stefano Oberti, Albrecht Haake
1Center of Mechanics, ETH Zurich, 8092 Zurich, Switzerland. adrian.neild@imes.mavt.ethz.ch <adrian.neild@imes.mavt.ethz.ch>
Ultrasonics
|June 27, 2006
Summary
This study presents a novel device for contactless manipulation of microparticles and cells using acoustic radiation force. The technology enables precise positioning of these particles within fluidic channels for microtechnology and life science applications.
Area of Science:
- Microtechnology
- Life Sciences
- Acoustic Manipulation
Background:
- Contactless manipulation of microparticles and cells is crucial for microtechnology and life science applications.
- Existing methods for particle positioning can be limited in precision and scope.
Purpose of the Study:
- To describe and model a device for contactless positioning of microparticles and cells within a fluid.
- To demonstrate the use of acoustic radiation force for precise particle manipulation.
Main Methods:
- A device utilizing a thin fluid layer in a silicon channel was developed.
- Waves were excited by a macro-piezoelectric plate, generating a pressure field in the fluid.
- A finite element model was used to predict particle locations based on the acoustic radiation force.
Main Results:
- The acoustic radiation force was successfully employed to create a force field, positioning particles at potential minima.
- Particles were precisely arranged into lines within the fluidic channel.
- Experimental results showed good agreement with the finite element model predictions.
Conclusions:
- The developed device effectively achieves contactless and precise positioning of microparticles and cells.
- Acoustic radiation force is a viable mechanism for controlled particle manipulation in microfluidic systems.
- The study validates the predictive capabilities of the finite element model for this system.

