Acoustic Robotics for Life Sciences and Healthcare (ARSL)Open OpportunitiesUnderstanding the distribution and mechanics of velocity and pressure within microaneurysms is crucial for controlling microrobots navigating through them. Traditional methods for velocity and pressure measurement in microchannels, such as particle image velocimetry (PIV) and numerical simulations based on fluidic physics laws, suffer from high computational demands and inability to operate in real-time. Moreover, pure image methods struggle with near-wall regions lacking visible particles. Leveraging recent advancements in machine learning, particularly convolutional neural networks (CNNs), this project proposes a novel approach - a physics-informed CNN integrated with Navier-Stokes equations and optical flow equations. This CNN aims to accurately predict velocity and pressure profiles in microchannel flows in real-time using only flow images and essential physical parameters. The network architecture comprises an encoder-decoder structure with seven convolutional layers, incorporating down-sampling and up-sampling layers. The final output layer produces three channels representing horizontal velocity, vertical velocity, and pressure. Additionally, a physics-informed loss function, incorporating dimensionless Navier-Stokes equation residuals and optical flow equation residuals, enhances the model's performance by integrating knowledge of fluid dynamics and computer vision. This approach represents a promising advancement towards achieving real-time, high-accuracy prediction of velocity and pressure fields in microchannel flows, with potential applications in microrobotics and microfluidics. - Computer Vision, Engineering and Technology, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Physics
- Bachelor Thesis, Master Thesis, Semester Project
| We want to expand the use of acoustic microrobots for biomedical applications by studying their manipulation in 3D environments and their simultaneous real time tracking using non-invasive ultrasound imaging. - Biomedical Engineering, Materials Engineering, Mechanical and Industrial Engineering
- Bachelor Thesis, Master Thesis, Semester Project, Summer School
| We want to expand the use of acoustic microrobots for drug delivery biomedical applications in brain tumor environments of small mammalian models. - Biology, Biomedical Engineering, Materials Engineering, Mechanical and Industrial Engineering
- Master Thesis
| We want to expand the use of acoustic microrobots for drug delivery applications in tumor environments. - Biomedical Engineering, Electrical and Electronic Engineering, Industrial Biotechnology and Food Sciences, Materials Engineering, Mechanical and Industrial Engineering
- Bachelor Thesis, Collaboration, Master Thesis, Semester Project
| The project is a collaboration between ARSL and CVL. For acoustics, Prof. Daniel will guide you and for AI, Prof. Fisher Yu will guide you. We plan to develop a special 3D reconstruction algorithm for zebrafish larvae.
In this project, we first perform the rotation manipulation of zebrafish using an acoustically actuated capillary. Then, we would like to realize the precise 3D reconstruction of the in vivo organs of live zebrafish larvae using CV and AI algorithms. We will fabricate a microchannel chip, which can develop a single polarized vortex. By adjusting the acoustic excitation parameters, we will change the rotational speed and direction. Finally, we will program our special 3D reconstruction algorithms and software. - Acoustics and Acoustical Devices; Waves, Microbiology, Programming Languages, Robotics and Mechatronics
- Master Thesis
| Ultrasound helmets are typically used to focus ultrasound on specific regions of the brain to treat tremors. To date, most ultrasound helmets that have been developed are bulky and rigid, have suboptimal resolution, and produce considerable heat. Ultrasound arrays on flexible sheets offer an exciting new direction, but their application has so far been limited to monitoring. Importantly, no current systems are designed for manipulating microrobots within a 3D vasculature. - Biomechanical Engineering, Biosensor Technologies, Control Engineering, Electrical and Electronic Engineering, Flexible Manufacturing Systems, Mechanical Engineering
- ETH Zurich (ETHZ), Master Thesis
| Inspired by naturally-occurring microswimmers such as spermatozoa that exploit the nonslip boundary conditions of a wall, we propose here a microrobot design (a “sperm-bot”) that can execute upstream motility triggered by ultrasound. - Fluidization and Fluid Mechanics, Mechanical Engineering
- Bachelor Thesis, Master Thesis, Semester Project, Summer School
| The newly designed microrobot consists of a cavity at the center of its body within the polymer matrix. The microcavity supports an air-bubble trap, which enables propulsion in an acoustic field. - Biomechanical Engineering, Mechanical Engineering
- Bachelor Thesis, Master Thesis
| Already today, microbubbles are being used as ultrasound contrast agents. Their ability to precisely be manipulated to a target area gives rise to a lot of new possible applications. specially the ability to deliver drugs accurately and avoiding drug-tissue interactions with the surrounding healthy tissue would be groundbreaking for modern medicine. WE plan to implement a stable on-chip fabrication of liposomes and microbubbles and study the acoustic effect over the produced microbubbles. We investigate the effect of flow rates on the size of the produced bubbles and examine their stability. - Biochemistry and Cell Biology, Biomedical Engineering, Industrial Biotechnology and Food Sciences, Mechanical and Industrial Engineering
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
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