Technologies

Health360 is a software framework for building cloud platforms to monitor the health of subjects recruited in clinical trials, residents of social housing or athletes in sports teams. The framework is based on interconnected and configurable modules to implement platforms that meet specific needs while maintaining a high level of usability.

Data loggers for environmental data recording  have been commercially available for several years, but their cost often limits their use. The development of low-cost data loggers, with adequate features for the acquisition of environmental and physiological data, to understand the relationships between organisms and the environment, and capable of recording and storing data for long periods of time is essential for their diffusion in the naturalistic field.

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.

To the enterprises working in the field of nutrition/nutraceutics and drug development/repositioning, we offer the know-how and state-of-the-art instrumentation of our labs to monitor multiple relevant biological parameters at the cellular level: metabolic activity, vitality, health, but also stress and toxicity. The use of advanced imaging techniques based on fluorescent/bioluminescent probes together with the availability of time-lapse acquisitions, guarantee the cutting-edge analysis of different biological parameters over time.

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.