Technologies

Spark anemometry based on the analysis of an electrical discharge can be implemented in the automotive sector through measurements of the secondary circuit voltage. Actual applicability of this method is quite limited, given that it requires additional hardware that is not compatible with space requirements specific for production engines (e.g. fueled with gasoline, LPG or methane); furthermore, applying high voltage measurements is complex and entails increased cost.

This technology is based on an algorithm able to provide the probability of being asthmatic with high accuracy. This probability is based on the evaluation of respiratory function and, specifically, of forced expiratory vital capacity in the first second (FEV₁), in resting conditions, and 20 minutes after administration of a bronchodilator drug.

The proposed device is a semi-transparent screen that allows simultaneous viewing of what is beyond the screen and the images projected onto its surface. It consists of two thin glass plates with reflective elements arranged as microlenses, embedded in a resin. The projector's light is reflected by the elements towards the user's eye, while external light passes through the transparent layers without distortion. The transparency and brightness of the screen can be adjusted by modifying the reflective elements.

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.

This form describes a programmable, autonomous and stand-alone imaging system for the acquisition and processing of images containing subjects whose size is larger than 1cm (e.g. gelatinous zooplankton, fishes, litter, manufacts), form the seafloor or along the water column, in shallow or deep waters. It is capable to recognize and classify the image content through pattern recognition algorithms that combine computer vision and artificial intelligence methodologies.

Safe, efficient and specific nano-delivery systems are increasingly needed for precision and regenerative medicine and targeted therapies (e.g. anticancer and antimicrobial therapies), as well as for  the cosmetic and nutraceutical sectors’ applications. Despite the appreciable success of synthetic nanovectors, like for example liposomes, their clinical and market application is hampered by some limitations: • large scale production, • low cost production • intrinsic toxicity • limited cellular uptake • limited consumer acceptance.

Environmental monitoring is a rapidly growing field, both in academia and industry. The use of wearables for environmental monitoring is a promising technique, as it allows data to be collected continuously and comprehensively. The main problem with using wearables for environmental monitoring is the size and weight of the system, as well as the high degree of specialization required to develop a fully functional device.

X-ray imaging techniques can work in i) "full-field mode" in which the object to study (or part of it) is completely illuminated by the X-ray beam; ii) "scanning mode" in which an X-ray beam, focused through an opportune optics, illuminates in succession contiguous areas of the sample under examination, and the transmitted wave is measured by a detector placed at a proper distance from it. One of these X-ray scanning microscopes is available at the facility (X-ray MicroImaging, XMIL@b) of the Institute of Crystallography (CNR-Bari).