Department of Information Technology and Electrical EngineeringAcronym | D-ITET | Homepage | http://www.ee.ethz.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Parent organization | ETH Zurich | Current organization | Department of Information Technology and Electrical Engineering | Child organizations | |
Open OpportunitiesThe remarkable complexity of morphogenesis and tissue regeneration implies the existence of a transcellular communication network in which individual cells sense the environment and coordinate their biological activity in time and space. To understand the fascinating ability of tissue self-organization, comprehensive study of biophysical properties (cellular nanomechanics such as tension forces and bioelectromagnetics) in combination with the analysis of biochemical networks (signaling pathways and genetic circuits) is required.
In this framework we are investigating the unacknowledged key role of Desmoglein 3 (Dsg3) as a receptor involved in mechanosensing, capable of initiating a signaling response in the transcellular communication network, which results in stem cell fate conversion, plasticity and tissue repair.
Our goal is to apply innovative Fluidic Force Microscopy to measure altered biophysical parameters upon disruption of Dsg3 transadhesion such as cell stiffness, cell-cell adhesion, cell surface charges and electric potentials. Together with the University of Bern and University of Lübeck we are further investigating how these biophysical changes relate to transcriptomic, epigenomic and proteomic response circuits to ultimately infer biophysical and biochemical circuits involved in Dsg3 signaling.
- Biochemistry and Cell Biology, Biomedical Engineering, Medical and Health Sciences, Physics
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
| The remarkable complexity of morphogenesis and tissue regeneration implies the existence of a transcellular communication network in which individual cells sense the environment and coordinate their biological activity in time and space. To understand the fascinating ability of tissue self-organization, comprehensive study of biophysical properties (cellular nanomechanics such as tension forces and bioelectromagnetics) in combination with the analysis of biochemical networks (signaling pathways and genetic circuits) is required.
In this framework we are investigating the unacknowledged key role of Desmoglein 3 (Dsg3) as a receptor involved in mechanosensing, capable of initiating a signaling response in the transcellular communication network, which results in stem cell fate conversion, plasticity and tissue repair.
Our goal is to apply innovative Fluidic Force Microscopy to measure altered biophysical parameters upon disruption of Dsg3 transadhesion such as cell stiffness, cell-cell adhesion, cell surface charges and electric potentials. Together with the University of Bern and University of Lübeck we are further investigating how these biophysical changes relate to transcriptomic, epigenomic and proteomic response circuits to ultimately infer biophysical and biochemical circuits involved in Dsg3 signaling.
- Biochemistry and Cell Biology, Biomedical Engineering, Medical and Health Sciences, Physics
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
| Cardiac diffusion tensor imaging (cDTI) provides information about the cardiac microstructure by measuring the diffusion of water molecules within the heart wall. Current imaging standards measure three slices distributed across the left ventricle. However, if not corrected, respiratory motion causes slice misalignments that obstruct microstructure inference. Yet, this motion might also allow us to estimate sample points between slices, thus adjusting for motion and increasing spatial coverage. By using the respiratory navigator data, you will map in-vivo cDTI data to a 3D digital twin mesh and implement a tensor estimation to estimate sample points between slices based on spatial smoothness regularization. You then perform an accuracy evaluation on simulated data. - Biomedical Engineering, Human Biophysics, Medical Physics
- Bachelor Thesis, Master Thesis, Semester Project
| This project focuses on the Unmanned Autonomous Vehicle class, characterized by a few centimeters in diameter, tens of grams in weight, and a few Watts total power consumption. In this field, Crazyflie (https://www.bitcraze.io/) is one of the best commercial products, providing a versatile quadcopter for research and education. - Electrical Engineering, Intelligent Robotics
- Bachelor Thesis, Master Thesis, Semester Project
| The purpose of this project is to develop a magnetic resonance (MR)-compatible photoplethysmograph (PPG) system which could measure the raw PPG signal during MR image acquisition. The system consists of an optic sensor which measured the optic signal, a fiber optic cable which transmitted a near-infrared optic signal, a signal amplifier, and a filter for noise removal. - Integrated Circuits, Programming Languages, Software Engineering
- Bachelor Thesis, Master Thesis, Semester Project
| In many applications, from robotics to home and industry automation, localizing objects and people is an essential feature. Outdoor localization is generally performed using GNSS, GPS, which does not work in indoor scenarios. In this applications, systems like BLE and UWB tag-anchor system are commonly implemented. However, these systems involve the necessity of carrying a battery supplied tag together with the tracked object. This limits the applicability to human and/or animals, that are not happy to wear 24/7 electronic devices, or it can increase the system cost for industrial products. - Biomechanical Engineering, Clinical Engineering, Integrated Circuits
- Bachelor Thesis, Master Thesis, Semester Project
| Do you want to develop your skills while helping to solve the climate change problem? Are you willing to work on cutting edge technology with multidisciplinary experts in an international context and test the outputs of your labor on the field (on one of the world’s largest wind tunnel or a wind turbine)? Look no further, MISTERY is the right project for you. From novel sensors to machine learning on the edge, including ultra-low power IoT systems, MISTERY packs all the essential tools for becoming an embedded system expert. - Electrical and Electronic Engineering, Environmental Technologies
- Bachelor Thesis, Master Thesis, Semester Project
| Do you want to develop your skills while helping to solve the climate change problem? Are you willing to work on cutting edge technology with multidisciplinary experts in an international context and test the outputs of your labor on the field (on one of the world’s largest wind tunnel or a wind turbine)? Look no further, MISTERY is the right project for you. From novel sensors to machine learning on the edge, including ultra-low power IoT systems, MISTERY packs all the essential tools for becoming an embedded system expert. - Digital Systems, Environmental Technologies, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Signal Processing, Simulation and Modelling
- Bachelor Thesis, Master Thesis, Semester Project
| Do you want to develop your skills while helping to solve the climate change problem? Are you willing to work on cutting edge technology with multidisciplinary experts in an international context and test the outputs of your labor on the field (on one of the world’s largest wind tunnel or a wind turbine)? Look no further, MISTERY is the right project for you. From novel sensors to machine learning on the edge, including ultra-low power IoT systems, MISTERY packs all the essential tools for becoming an embedded system expert. - Electrical and Electronic Engineering, Logic Design
- Bachelor Thesis, Master Thesis, Semester Project
| The objective of this project is the design and analysis of recommender systems as optimization algorithms representing a robust feedback controller. We aim to design recommender system algorithms that identify influential users using observable data from users (for example: clicks/ time spent on a page/ likes etc.) in a social network and provide recommendations accordingly. - Engineering and Technology, Mathematical Sciences
- Master Thesis, Semester Project
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