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.
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 1 - 15 of 42
A biosensor based on magnetic microspheres functionalized with a DNA-aptamer was developed for the specific biomonitoring of biological contaminants (mycotoxins) in urine.
Ageing characterization of Balsamic Vinegar of Modena (BVM) and Traditional Balsamic Vinegar of Modena (TBVM) by the combined use of Nuclear Magnetic Resonance spectroscopy (NMR) and multivariate statistical analysis. Our database allows to differentiate BVM from TBVM samples. Moreover, within BVMs, samples with ageing <3/>3 years can be discriminated and within TBVM, samples with ageing between 12 and 25 years as well as >25 years can be discriminated.
The proposed technology consists of a portable device for monitoring the freshness of fish, based on its smell. The device is based on a gas sensor and pattern recognition software to correlate the sensor signal to the freshness of the food. The technology is designed for its integration into domestic or industrial refrigerators.
Combined use of High-Resolution Nuclear Magnetic Resonance spectroscopy (NMR) and multivariate statistical analysis for the differentiation of PDO Parmigiano Reggiano samples according to ripening and for the differentiation of PDO Parmigiano Reggiano from “Grana type” products available on the market.
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.
B-ME developed the first thermoplastic composite electrode film based on bio-derived and biodegradable polyesters and carbon nano-fibers. It is metal-free, highly electrically conductive and possess good thermo-mechanical properties, a challenging combination of three features in a single product. This is the first-of-its-kind product, as, to the best of our knowledge, no thermoplastic biobased electrode film has been effectively produced and used so far.
The dramatic global health emergency due to the SARS-CoV-2 pandemic requires new diagnostic devices capable of identifying the presence of virus particles in patient biological samples. In this direction, the development of an innovative low-cost test, which provides the result within a few minutes, which is reproducible and which can reveal the direct presence of even a few viral particles, would be of fundamental importance for the monitoring and containment of the pandemic.
The final technology will add polarimetric capability to imaging cameras in the NUV/optical, providing simultaneous measurements of the different polarization states of the light. This will be obtained by the development of an innovative coating based on nanostructured emissive materials sensitive to the polarization of the incident light. A double layer film of two organic systems will be coupled to image detectors so that the two polarization components of the incoming light are converted into two different colors.
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.
Digital Eye is an innovative, rapid and high-precision intelligent computer vision system for the non-destructive and contactless evaluation of quality and shelf-life of whole or fresh-cut fruit and vegetables. It integrates advanced vision and artificial intelligence technologies to estimate parameters useful to evaluate the quality of fruit and vegetables, during both the harvesting phase and the cold chain.
Molecular doping (MD) is a doping method based on the use of liquid solutions. The dopant precursor is in liquid form and the material to be doped is immersed in the solution. During the immersion process, the molecule containing the dopant atom is deposited on the surface of the material forming a self-assembled monolayer, that is, ordered and compact. Through a subsequent heat treatment, the molecule decomposes and the dopant diffuses.
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.
The virtual dynamic docking, carried out in the MOLBD3 lab of the Institute of Biophysics, allows the identification of new drugs through the structural information deriving from the study of target proteins, responsible for some human pathologies. In particular, we screen drugs or small molecules (commercial/own libraries) against known protein sites, surface cavities, surfaces of protein-protein interactions (fixed/rigid hotspots) or structural transition states (dynamic hotspots).
Our innovative proposal involves an educational robotics training program, resulting from an experimental research that combines traditional educational approaches with the utilization of robotics. Specifically, the educational robot Thymio, developed by EPFL, serves as a facilitator in the learning process to enhance School Readiness.