The development of new materials with near-infrared emission (NIR, 700 – 1000 nm) represent an important target in the technological progress of innovative active components for OLED devices (including flexible ones), surveillance systems, autonomous driving, night vision sensors, fiber optic telecommunications and medical systems. In all these fields it still lacks a commercial NIR-OLED technology.
Technologies
In this section it is possible to view, also through targeted research, the technologies inserted in the PROMO-TT Database. For further information on the technologies and to contact the CNR Research Teams who developed them, it is necessary to contact the Project Manager (see the references at the bottom of each record card).
Displaying results 16 - 23 of 23
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 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 present technology deals with jewels based on shape memory alloys and fabricated through additive manufacturing. In ICMATE-Lecco laboratories, several NiTi-based rings have been fabricated through a powder bed fusion technology (selective laser melting technique).
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.
Our treatment demonstrated the ability to kill metastatic human melanoma cells, for which there are very few effective therapeutic approaches. Use of a specific Essential Oil (EO) to inhibit the replication of human metastatic melanoma cells. This EO can be used both for direct application to the skin, and administered by mouth to reach both primary and metastatic melanomas.
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.
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).