Project Energy4Oil aims to deliver a low-cost hybrid nanogenerator able to operate in harsh conditions (pressure up to 12000 psi and working temperatures up to 120ºC) for the Oil & Gas industry. This new disruptive market solution, based on nanotechnology and on the most recent developments in the field of energy harvesting, will increase the...
The aim of this project is to develop a wearable sensing platform by integrating two emerging technologies: metamaterial sensors and piezoelectric polymers. Moreover, 3D printing techniques will be utilised to fabricate the platform for realizing versatile, cost-effective and personalised devices. The integration of electromagnetic metamaterials and piezoelectric smart materials onto one mechanically flexible platform has...
This project aims to develop a novel sensor concept for near-infrared (NIR) imaging and gamma-ray (x-ray) detection that leads to significant increase in the device performance in terms of sensitivity, accuracy and cost efficiency with respect to current technologies. As a starting point we have recently confirmed superior characteristics in UV radiation detection using specific...
A universal detector for mass spectrometry and molecular science. Mass spectrometry is ubiquitous in science and technology, from medicine and pharmacy over security surveillance to research in chemistry and physics. It requires the preparation, filtering and detection of single molecular ions. Matrix-assisted laser desorption ionisation (MALDI) and electrospray ionisation (ESI) are routinely used in the...
Neuroscience is a multidisciplinary and fast-growing market segment, primarily based on brain mapping investigations aimed to understand complex neuronal circuits and nervous operational pathways. It is well known that brain activity relies on interactions between large populations of neurons located in different brain regions. Understanding the relationships between these specific areas and disentangling the contributions...
Positron Emission Tomography (PET) is currently being used to establish if a patient diagnosed with cancer has developed metastasis in other organs in the body. This test is therefore used to decide the type of procedure to follow, usually based on chemo – and radio – therapies, but not for preventive screening. This decision is...
The purpose of this project is to explore the potential of new preparation processes of magneto optical (MO) materials for applications in guided optics. The project is based on unique know how to IPCMS: to the development of materials initiated by the Département de Chimie des Matériaux Inorganiques of the IPCMS and developed by the...
The main goal of the DentMRI project is to demonstrate a technology capable of simultaneous, high resolution imaging of soft and hard deep biological tissues, and which can be massively deployed in dental clinics within the next decade. Prior to the project start, we have been first to obtain high-resolution images of teeth (the hardest...
Vitestro and Result laboratory are developing a device that will automate venous blood sampling. Automation of blood collection offers a great opportunity for improving patient care and reducing costs. A major challenge in development of the venipuncture device is prevention of unintended nerve and arterial puncture, which can be problematic because of anatomical variations. In...
Although most people associate x-rays with medical applications or security scans, their use is widespread, with many industrial sectors and scientific disciplines dependent on them. For over a century, x-rays have been primarily used in a binary fashion, recording if they are absorbed by matter or not, termed attenuation contrast. However, x-rays are waves, exhibiting...
The XCOL project provides a breakthrough in X-ray digital imaging by making high resolution, colour X-ray imaging available at an affordable cost. We use innovative design techniques, optimised for X-ray detection, to boost the performance of CMOS image sensors so that they can deliver the longsought step-change in the image quality of large area flat...
Sensors have become key elements of today’s society. We live surrounded by sensors and the society evolves towards generalised and personalised sensorization, which allows a greater availability of data to interact with. However, sensors technology is limited in the field of biosensing, where there are no solutions that include universal and versatile label-free detection systems....
Sustained ventricular tachycardia (VT) is a cardiac arrhythmia that originates whenever there is tissue substrate constituting a re-entrant circuit, i.e., the presence of viable myocytes (‘channels’) embedded in myocardial scar, such as post-acute myocardial infarction (AMI) scar. AMI is one of the most prevalent human diseases, and sustained VT is a major cause for sudden...
The aim of the project is to develop a system capable of enabling true terahertz hyperspectral imaging at unprecedented rates. The best performing terahertz spectral imagers nowadays are based on raster scanning, i.e. performing a single pixel spectral analysis and moving the sample, which makes the process time-consuming and, hence, not suitable for most industrial...
Metrology of laser beams with high power has a number of challenges related to beam sampling technique, sensitivity control for the measurement device and achievable dynamic range. Main Objectives: development of an inexpensive, compact device for measurement of laser beam profile (LBP) and beam pointing stability (BPS) measurement device for pulsed and continuous high power...
Viral lasers represent a disruptive breakthrough in biological sensing with the potential to unlock new avenues of discovery in health research and the life sciences. The interdisciplinary technology bridges laser physics and synthetic biology to tackle biological sensing problems. The inventive use of laser phenomena gives the technology its unprecedented signal generation capabilities, but the...
Deep learning and smart sensors are both gaining wide interest in academia and commercially, but they both still lack research and a commercial breakthrough. DEBARE project researches novel gesture recognition using distributed multimodal deep learning and smart sensors. DEBARE develops a groundbreaking intelligent sensing platform for intuitive interaction with physical objects. Key objectives are: Developing...
A critical requirement for understanding and diagnosing severe pathologies, such as cancers, neurodegenerative or cardiovascular diseases, consists in achieving an exact understanding of fundamental structures and processes in cells and tissues at optical resolutions beyond the diffraction barrier. Fluorescence based techniques for Super-Resolution Microscopy (SRM) have generated huge impact in many fields of science but...
One-hundred-and-fifteen years after the first device was developed by Sir William Crookes, scintillator technologies remain an integral part of particle detectors in fundamental particle, nuclear, medical and applied physics applications worldwide. Primarily, these are research systems and are bespoke, one off detectors designed for high-performance and permanent installation within controlled and routinely monitored environments. Commercial...
The RaDFOS project has the ambitious goal of developing a dosimeter suitable for the next generation of particle accelerators and fusion reactors. The development of these new energy machine poses the need for new dosimetry technologies capable to measure the unprecedented level of dose expected from their operation, quantified above the MGy level. The RaDFOS...
