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Lammers, Steven (author)
Electron energy-loss spectroscopy (EELS) is a powerful analytical technique used in transmission electron microscopy (TEM) to investigate the energy loss of electrons as they interact with a specimen. EELS provides valuable information about the electronic structure, composition, and bonding properties of materials at the nanoscale. Despite its...
master thesis 2024
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Spoerer Ruiz-Tagle, Sebastián (author)
This project explores the integration of a microfluidic system within the MedRing device, aimed at enhancing women’s health monitoring by non-invasively tracking fertility-related biomarkers. The primary goal is to leverage MedRing’s capabilities to provide real-time, accurate health insights, thereby contributing to the advancement of...
master thesis 2024
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Carballás Boluda, Ramón (author)
The current drug development process is a costly effort both in terms of budget and time. Organ-on-Chip (OoC) technologies are rapidly developing and are used for various applications and studies that aim to reduce the costs of this process. They represent the convergence between tissue engineering and microfluidic technology to provide...
master thesis 2023
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Muntenaar, Laura (author)
Demand for smart, Internet-connected devices and other electronics has increased dramatically in recent years. This increase in demand for technological devices, driven by advancements in Artificial Intelligence (AI), the Internet of Things (IoT), and autonomous systems, has exposed the digital system to potential security threats. As more...
master thesis 2023
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Dong, Yingzhou (author)
Cardiovascular diseases (CVDs) are the top cause of death worldwide, and their diagnosis can be quickly and painlessly achieved through Electrocardiogram (ECG). The diagnosis of electrocardiogram has gradually evolved from manual diagnosis by doctors to one that can be realized using Artificial Intelligence (AI). Early AI still required manual...
master thesis 2023
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Shen, Zhaofeng (author)
Nowadays, to reduce the dependence of devices on cloud servers, machine learning workloads are required to process data on the edge. Furthermore, to improve adaptability to uncontrolled environments, there is a growing need for on-chip learning. Limitations in power and area for edge devices have increased interest in low-cost neural network...
master thesis 2023
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Struijk, Victor (author)
Life at low-Reynolds numbers regime is intriguing. Single motile bacteria are known to exhibit erratic behaviour; they swim in what is known as a random walk, alternating between periods of swimming straight and abrupt moments of re-orientation. Yet in dense populations, cells of E.coli have been reported to exhibit weak synchronization and self...
master thesis 2023
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Braem, Sarah (author)
Drug efficacy and side effects are significantly impacted by the first-pass metabolism, a sequence of events that occurs in the stomach and the liver after oral ingestion. Accurate prediction of this mechanism is crucial for a faster and more cost-efficient drug development process. Replicating the first-pass metabolism in vitro using standard...
master thesis 2023
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Neji, Saliha (author)
Diamond color centers have been increasingly gaining attention in research due to their desirable optical properties that make them suitable for applications such as quantum computing, quantum sensing and quantum communication. However, the main challenge has been on-chip integration of diamond color centers with high scalability and high yield....
master thesis 2023
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Michalica, Thomas (author)
3D-multi-electrode arrays (3D-MEAs) are needed to overcome the limitations of 2D-multi-electrode arrays (2D-MEAs) and enable the electrical characterization of 3D neuronal cultures in in vitro brain models, advancing the understanding of neurological disorders and paving the way to personalized medicine. The aim of this thesis was to overcome...
master thesis 2023
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Huang, Jiongyu (author)
A Spiking neural network (SNN) is a type of artificial neural network which encodes information using spike timing, network structure, and synaptic weights to emulate the information processing function of the human brain. Within an SNN, it is always required to support the spike transmission that travels between neurons(array). This thesis aims...
master thesis 2023
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Elhassan, Shiemaa (author)
An Organ-on-a-Chip (OoC) is a microfluidic device that mimics an organ function on a chip. The goal of the OoC technology is to create disease models of various organs and use them to minimise animal testing. One of the important parameters to maintain the cells/tissues on the OoC is the temperature, typically at 37 °C. Usually, cell culture...
master thesis 2023
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R KANNAN, Shirley (author)
Organs-on-Chips (OoCs) are micro-engineered devices in which small samples of human-organ tissue are cultured on the substrate. A chip is designed in such a way that it can emulate the in-vivo physiological environment for disease modeling and drug screening. OoC technology can be incorporated into the drug development process from early drug...
master thesis 2022
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Pfaiffer, Filippo (author)
Engineered Heart Tissues (EHTs) are a valuable approach enabled by Organ-on-Chip (OoC) technology to model human cardiac tissue. These small microfluidic devices allow the culture and development of living cardiac cells in 3D structures, to reproduce tissue dynamics and functionality in-vitro, thus fostering the development of new and more...
master thesis 2022
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den Boer, Sophie (author)
In vitro models are fundamental in the study of cell behaviour, the physiological function of organs, and their response to drugs and toxins. However, the shortage of accurate and reliable in vitro models calls for the development of in vitro lung models that better recapitulate lung physiology and pathology. Lung-on- a-chip models are promising...
master thesis 2022
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Angenent, Maricke (author)
Cardiorenal Syndrome (CRS) is a multi-organ disease characterized by a reciprocal pathological interaction between the heart and kidneys during acute or chronic injury. Yet, a complete understanding of the underlying bi-directional pathophysiological mechanisms is lacking, hence obscuring effective diagnostic strategies, patient stratification...
master thesis 2022
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Bokhorst, Rik (author)
Front-end Monolithic Microwave Integrated Circuits (MMICs) have recently become commercially available for frequencies above 100 GHz. However, achieving low-loss and broadband interconnections between the antenna and MMICs is challenging for integrated front ends at these frequencies. This thesis presents the characterization of a flip-chip...
master thesis 2022
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Marting, Louis (author)
Terahertz astronomy has been exceptionally unexplored until the last decades due to a technological gap, but exactly at these wavelengths the most distant galaxies appear very bright. Efficient instruments that are capable of spectrometry are essential in understanding the physics of these distant objects. Within the framework of this thesis, an...
master thesis 2022
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HUA, YUAN (author)
This thesis presents a 48V-to-1V 10-level dual inductor hybrid converter (DIHC) containing 11 on-chip switches and an off-chip Gallium Nitride (GaN) switch. Thanks to the 10-level Dickson switched-capacitor (SC) circuit, most of the voltage stress will be taken over by off-chip capacitors, which reduces the voltage stress of each switch to 4.8 V...
master thesis 2022
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Horsthuis, Jan (author)
Capillary self-alignment shows the potential to keep small components aligned using soft liquid contact when disturbed by external forces. Whilst this concept has been promising, mostly static situations have been investigated, making it unclear how a receptor-droplet-chip (RDC) configuration behaves dynamically and where its stability limits...
master thesis 2022
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