Projects
Sensors for Food: validation process millimeter-wave sensors for drying processes and moisture provisions Vrije Universiteit Brussel
Development of a 3D image acquisition system and image processing algorithms for the characterization of the ejection parameters of fertilizer granules. Research Institute for Agriculture, Fisheries and Food
The aim of this research, a collaboration between ILVO, Ghent University, Agrosup Dijon and the Université de Bourgogne, is to develop a 3-D method to predict the spread pattern of fertilizer grains. Theoretical and practical fine-tuning of the algorithms for the outlet angle and speed lead to the possibility of an intelligent machine with a sensor-based feedback system. The final goal ...
Sub-THz CMOS sensors for electromagnetic aquametrics. Vrije Universiteit Brussel
New sensors and strategies for the visualization of nanoscale activity and 3D cell structure KU Leuven
Living systems use nanoscale organization to compartmentalize and guide the chemical processes occurring inside them. This spatiotemporal heterogeneity is thought to be a key concept for e.g. signaling specificity, yet is difficult to study as it can only be measured in the intact cell. However, at the current state of the art it is difficult to measure chemical (signaling) processes at high spatiotemporal resolution, or to measure whole-cell ...
Low-cost embedded 1D vision sensors for smart monitoring applications KU Leuven
Low cost embedded one-dimensional (1D) line-scan vision sensors open up many opportunities for realizing cost-effective, integrated imaging systems allowing continuous online condition, process and product quality monitoring.
SElf-Adaptive and Automated LEARNing Framework for Smart Sensors KU Leuven
Smart Sensors are key components for the upcoming Green and Digital European era. Recently, novel emerging electronics components – such as high energy-efficient many-core application processors featuring a power consumption of few tens of mWs – have enabled high-accurate on-device inference capabilities, i.e. Deep Learning inference, to extract high-level information from sensor data. However, this technology improvement is not sufficient to ...
Electric field dependence of quantum dot (QD) photoluminescence under single ph oton and two-photon illumination: towards membrane voltage QD sensors KU Leuven
Optical stimulation and detection of neuronal signals with high spatio-temporal resolution are of major importance in neuroscience. Quantum dots (QDs) have been used in biological applications primarily in the imaging field, where the interfaces created between such particles and cells were mainly passive (no influence of the QDs on the cellular properties) [1]. On the other hand, semiconductor nanoparticles (NPs) and nanowires (NWs) display ...
Innovative use of sensors in mobile platforms KU Leuven
The goal of the project is to provide software application developers with resources to maximize the use of existing sensors in mobile devices or sensors that can be connected to mobile devices (cameras, microphones, motion sensors, ...).
Shining new light on G protein-coupled receptors by combining of a new class of sensors with tailored high-resolution fluorescence microscopy. KU Leuven
G protein-coupled receptors (GPCRs) are the ears and eyes of the cell. Encoded by more than 800 genes on the human genome and target for more than 30% of the marketed drugs, they sense extracellular information and translate it to intracellular action. The vast importance of these receptor molecules has resulted into a wealth of information on how they work and communicate with the cellular machinery. However, while new insights emerge on ...