Technologies

Organotypic models of ovarian cancer are 3D models containing defined extracellular matrices, such as collagen and fibronectin, ovarian cancer cells with specific genetic/molecular characteristics, and one or more cancer-associated stromal cell types (fibroblasts, mesothelial cells, endothelial cells) to mimic specific metastatic niches of ovarian cancer (omentum, peritoneum, interstitial stroma) and the complex interactions within tumor tissues.

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.

The development of genome editing tools has revolutionized the way we think and deal with genetics. The use of Cas9 or its variants allows modifications of specific sites in the human genome by inducing deletions and insertions in a more or less controlled way. In recent years, a new class of tools for genome editing has emerged: the base editors (BE), which result from the fusion of a modified Cas9, which serves to direct the BE to the target, and an active deaminase acting on the DNA, which mediates the C> T or A> G editing.

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.

The compact-GC platform is a MEMS-based analytical module for the purge&trap pre-concentration and (gas)-chromatographic separation of a sample. The two analytical MEMS (pre-concentrator and GC column) are interconnected by means of a MEMS microfluidic manifold. The microfluidic manifold interconnects the analytical MEMS, but it also acts as injector through the integrated micro-valves.

This technology is an e-health application. The DragONE application is inspired by the global guidelines for the management of asthma, which promote the opportunity to implement a multidimensional assessment of pediatric asthma using innovative systems. DragONE allows to record data on the subjective control of asthma, by using easy-to-understand colors and icons for children (red, yellow or green dragon), to keep track to the patient’s of perceived state.

Plants have a huge potential to contribute to the solution of a large number of issues facing the modern world, ranging from a poor crop yields and problems caused by global climate changing. Our team has been on the forefront of the PCR and NGS applications to plant responses to biotic and abiotic stress. As experts in genomics and plant pathology we are able to accelerate the understanding and use of plant genes and resources.

Anthocyanins are antioxidant polyphenolic pigments produced by plants that are widely used in the food, cosmetic and pharmaceutical industries. The technology allows to obtain in a short time potato cell lines in which the production of highly acetylated and highly complex anthocyanins is increased in addition to other antioxidant polyphenolic compounds. The obtained cellular lines have a high production efficiency, comparable to the extraction of berries, but with the advantage of having an on-demand production which is not limited to seasonality.

The herein described technology aims at the development of a platform of injectable hydrogels for application as drug carriers for localized delivery or in the regenerative medicine field. The use of ad-hoc synthesized poly(ether urethane)s (PEUs) as hydrogel forming materials is a common property which characterizes all the systems belonging to this platform.

Lifeshell is an anti-seismic furniture construction concept, which can be used for making wardrobes, tables, desktops, beds. It’s made by timber based panels: highly resistant and flexible, relatively lightweight and inexpensive. Lifeshell benefits from the natural wood elasticity and from smart connections for dissipating the great impact energies occurring during an earthquake. Lifeshell has been designed for resisting partial building collapses, and to provide a safe shell where inhabitants can find refuge.

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.

The full face mask adapts to the face of the user; it is used in the medical field where there may be close contact between a patient and a doctor and in all those areas of possible social overcrowding that, in case of a pandemic, may lead to the spread of a virus. To date, as the main means of containment and prevention of infection, are used masks made of fabric or equipped with filter that adhere to the face of the user in order to shield nose and mouth and / or filter the air inhaled and / or exhaled by the user.

The prototype uses soil moisture sensors which, through a measurement of dielectric permittivity, estimate the soil moisture based on which irrigation is started through relay-controlled solenoid valve. The system was developed using Open Source technologies. Specifically, for the hardware components, a small sized board computer Raspberry PI 3B + was used together with a 4G LTE Wi-Fi router and a Modbus rs485 / USB converter.

The proposed system is based on a high-resolution electrocardiograph in which the electrodes are positioned on maternal abdomen. The acquired signals are processed using a completely unsupervised software for fetal ECG extraction based on independent component analysis, maternal ECG canceling and a quality index optimization. The electrocardiograph is constituted by a light-weight and light-dimension portable unit, which acquires the signals and transmit them to a computer where the analysis software runs.

IMM has developed tactile sensors for the detection of objects and surface and for the handling of objects with humanoid robots (e-skin). These devices can be integrated on ultra-flexible and high conformable substrates and they can be used for multiple applications: 1) for a correct interaction with objects distributed in complex environment; 2) for a safe short-range interaction between humanoid robot and humans; 3) for fabricating smart wearables for the detection of biometric parameters (e.g. heartbeat); 4) for remotely control rovers with wearable gadgets.