Technologies

We have identified compounds that show a neuroprotective action in vivo, in models of neurodegenerative diseases (e.g. SMA, Parkinson, Alzheimer, Huntington) in the model organism C. elegans. These compounds consist of: mixtures of 22 natural extracts, 15 natural molecules and 11 synthetic molecules.

With the advent of senolytic agents, capable of selectively removing senescent cells in “aged” tissues, the perception of age-associated diseases has changed from being an inevitable to a preventable phenomenon of human life. The present invention is part of this research topic with the identification of molecules with potential pro-apoptotic activity, specifically with senolytic activity. The computational approach adopted, is based on combining ligand-base and structure-based virtual screening.

Optical backplane for interconnection between boards of a high-capacity ICT apparatus, data-center, server and the related automatic assembly method. The solution is based on optical connections between boards with an optimized layout on a support with mechanical constraints that involve controlled deformations of commercial optical fibers with standardized connectors. The entire interconnection circuit is divided into N independent circuits, each of which makes the connections between all the boards (Full-Mesh).

The metasurface optomechanical modulator is a device designed to modulate the amplitude, phase and polarization of a beam of electromagnetic radiation, independently, or simultaneously, according to prescribed paths in the parameter space (for example, as regards polarization, paths on the Poincaré sphere). The concept of our device can be applied to the entire spectrum of electromagnetic waves: from radio frequency, to microwaves (GHz), to millimeter waves (THz), to far and near infrared radiation, and to visible light.

The  invention relates to the water purification sector; it refers to a phytodepuration module and to a plant including this module. The objective is decontamination and recovery of drinking water from contaminated springs and wells, thermal, rainwater, wastewater and industrial wastewater. Phytodepuration tanks are known which use ferns to decontaminate water, but have the limits of requiring large surfaces and / or long treatment times.

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.

Recently, it has been demonstrated that Raman spectroscopy can play a fundamental role in assisting the work of the anatomopathologist by allowing classification of oncological samples with practically 100% accuracy in oncological diagnosis.

This is a high-throughput sequencing based method to map euchromatin and heterochromatin accessibility. The method is based on the sequential extraction of distinct nuclear fractions containing: soluble proteins (S1 fraction); the surnatant obtained after DNase treatment (S2 fraction); DNase-resistant chromatin extracted with high salt buffer (S3 fraction); and the most condensed and insoluble portion of chromatin, extracted with urea buffer that solubilizes the remaining proteins and membranes (S4 fraction).

SITODIET is an innovative software that supports a translational approach to health’s state. It integrates various sources of physiological, behavioral, and psychological data to reduce the risks associated with the onset of lifestyle-related diseases (primary prevention), to support health professionals in early diagnosis (secondary prevention) or to manage the personalized therapy’s patient (tertiary prevention). SITODIETcollects data automatically, through actigraphy tools, as wristband or smartwatch, or manually

The proposing team that works at CNR ISTEC has recently patented a technology for the production of the Smart Polycrystals (SP), i.e. transparent YAG-based ceramic polycrystals (Y₃Al₅O₁₂) variably doped with rare earths ions and transition metals ions. The SPs solve the problem of the reduction of the efficiency in the solid state laser systems caused by the inhomogeneous heating of the single crystals during the emission process.

Environmental contamination is a prominent topic. Where the exposure to contaminants such as heavy metals (HMs) or polycyclic aromatic hydrocarbons (PAHs) is greater, the incidence of chronic degenerative diseases, such as oncologic, is increased. Scientific evidence reports that some phytochemicals are able to interact with HMs and PAHs by interfering with their cellular metabolism, inhibiting their cytotoxic mechanisms or helping to reduce tissue concentrations.

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.

The technology refers to a system for the safety and control of the mobility of vehicles, pedestrians, and mass transport users, in conventional and advanced contexts and is suitable for use as an infrastructure for the production/sharing of information and data, aimed at monitoring and intervention in critical areas by offering specific functions concerning the detection of potentially dangerous situations or the optimization of resources.

We present a new concept of ultra-compact, configurable and implantable brain computer interface (BCI). The device can be applied to monitor or stimulate, with high temporal and spatial accuracy, neural activity of the brain. It allows implementation of closed-loop algorithms in real time applications. The system can be also used in vitro to monitor or induce cell growth or as tDCS tool. The system can be customized (microelectrodes materials and shapes) to guarantee the best solution for the specific application.

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.