Technologies

The technology for organic thin film transistors (OTFTs) is suitable for large area electronics, disposable electronics and "Internet of Things" applications. Circuits employing OTFTs can be realized by using very cheap printing technologies. The electrical behavior of these devices is essentially different from the behavior of silicon MOSFETs and, in order to enable circuit design, compact models specific for OTFTs are needed.

The presented technology is an electrical compact model for OTFTs that:

Current standard SPECTs, in order to achieve high resolutions, use a multi-pinholes technology that requires numerous data processing to limit the effects of image distortion. The proposed SSR-SPECT scanner, uses a parallel-hole collimator and therefore does not require numerical reprocessing of the data to obtain correct information on the images, while assuring spatial resolutions close to those of the pinholes through the acquisition of sequences of images shifted from one to another.

Time-correlated single photon counting (TCSPC) is regarded as the “gold-standard” method for fluorescence lifetime measurements. However, TCSPC requires using highly sensitive detectors, not suitable for measurements under bright light conditions, thereby making the use impractical in clinical settings. The invention described here solves this problem by synchronizing the fluorescence detection with an external light source.

B-ME developed the first thermoplastic composite electrode film based on bio-derived and biodegradable polyesters and carbon nano-fibers. It is metal-free, highly electrically conductive and possess good thermo-mechanical properties, a challenging combination of three features in a single product. This is the first-of-its-kind product, as, to the best of our knowledge, no thermoplastic biobased electrode film has been effectively produced and used so far.

The aim of the present invention is to develop a modular scintigraphic device, with high spatial resolution, capable of creating investigation areas of various shapes and sizes, of compact form and of being used in different types of applications.

The present invention relates to a gamma camera for intracavitary use, which is widely used in the field of radio-guided surgery (intra-operative and laparoscopic and robotic-assisted) for the localisation of lymph nodes and tumours and/or other pathologies. The aim of the present invention is to make available an intraoperative tool able to overcome the drawbacks of the present known art.

Digital Eye is an innovative, rapid and high-precision intelligent computer vision system for the non-destructive and contactless evaluation of quality and shelf-life of whole or fresh-cut fruit and vegetables. It integrates advanced vision and artificial intelligence technologies to estimate parameters useful to evaluate the quality of fruit and vegetables, during both the harvesting phase and the cold chain.

Silicon nanowires (SiNWs) are 1D structures with diameter ranging from few tens to hundreds of nanometers and length varying from few tens of nanometers to millimiters. SiNWs are fabricated in the labs of the IMM-CNR, Rome Unit,  by using bottom-up technologies such as plasma enhanced chemical vapor deposition (PECVD) at low growth temperature ((≤350°C), allowing the use of plastic and glassy substrates. Their electrical properties can be tuned by controlling the p/n doping during the growth.

VisLab laboratory of IMM possesses a latest generation Raman micro-spectroscope equipped for vibrational measurements with high spatial and spectral resolution, at controlled temperature and in fast-imaging. The apparatus can be used to collect information and chemico-physical maps without the need for sample preparation and alteration, therefore for non-destructive studies and in operating conditions.

The Nikon reference centre at IBPM ( www.imagingplatformibpmcnr.it ) is a microscopy platform for high resolution imaging of fixed samples and live cells (time-lapse video recording, both wide field and confocal spinning disk). Multimodal (fluorescence and transmitted light) and multidimensional (in x,y,z, 4 wavelengths, over time) acquisition modes are in place.

NIRS is a non-invasive technique for the human brain cortex imaging based on the measurement of the NIR light emitted by suitable optical sources placed on the patient head and backdiffused to the surface after passing through the brain tissues. NIRS monitors the percentage of oxygenated and reduced hemoglobin  in the blood, and it allows the real time functional imaging of the brain cortex also in tomographic mode (Diffuse Optical Tomography - DOT).

We propose a compact innovative spectroscopy system operating in the UV range. In the actual version, designed for gas, it exhibits: an aluminium tubular optical chamber (length can be adjusted; currently is 20 cm); a cheap commercial UV LED; a SiC visible blind UV detector designed and manufactured at the CNR-IMM facilities. The team developed also the electronic chain for wireless remote real time read out; while able to deal with pA current levels, it uses very cheap components and construction technology.

The NanoMicroFab infrastructure, support companies operating in the field of micro and nanoelectronics through the supply of materials, development of processes, design, fabrication and characterization of materials and devices. NanoMicroFab makes use of existing CNR facilities of the Institute of Microelectronics and Microsystems, the Institute of Photonics and Nanotechnologies and the Institute for the Structure of Matter and provides: • a complete line of development of devices based on wide band gap semiconductors.

The platform allows the deployment of a sensor network with peripheral nodes spread on the crop fields or on the environment for the monitoring of crop parameters/environmental parameters. The network architecture integrated LoRa peripheral nodes for short-medium range communication and star-center NB-IoT based for long range communication. It includes a web server and MySQL database for data storage and visualization. The network architecture is scalable to adapt to the area to monitor.

The platform allows acquisition of data from commercial and custom sensors. By now, the system has been embedded in a wearable wristband where elastomeric based strain gauge have been integrated to detect fine hand/wrist/arm movements. The platform integrates inertial sensors (accelerometers, gyroscopes) to acquire more details about the subject movements. A sensor-fusion algorithm enables advanced movement recognition (gesture, 3D orientation). A machine-learning algorithm is in development to increase the performance of the platform.