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 45
4Ts Game was born in ITD in 2017 to indicate a board game for teacher training, which aims to develop skills in designing collaborative learning activities. The game was originally conceived as a 'tangible' game, consisting of a board and 4 decks of paper cards which contain inputs that guide the teachers/players' design process. Subsequently the game evolved and was developed in its digital version. In this version, developed in Unity and with an underlying knowledge base in Prolog, the game is able to provide feedback to teachers regarding the design/game choices made.
The technology, developed by CNR-ICB, is based on an innovative bioprocess called "Caphnophilic (CO2-requiring) Lactic Fermentation (CLF)”, developed in the hyperthermophilic bacterium Thermotoga neapolitana (EP patent: EP2948556B1), which allows the production of "green" hydrogen and capture and valorization of CO2 in L -lactic acid (98% e.e.).
The Proof-of-Concept A.L.I.C.E. or "Actuators based on Light sensitive CompositE" aims at the development of innovative materials through 3D/4D printing processes and uses them as actuators in the fields of photovoltaics, concentrated solar power, thermodynamic solar, and other applications such as optical deflectors, optical microvalves, and optical switches.
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 development of genome editing tools has revolutionized the way we think and deal with genetics. The use of Cas9 or its variants allows modifications of specific sites in the human genome by inducing deletions and insertions in a more or less controlled way. In recent years, a new class of tools for genome editing has emerged: the base editors (BE), which result from the fusion of a modified Cas9, which serves to direct the BE to the target, and an active deaminase acting on the DNA, which mediates the C> T or A> G editing.
This proposal focuses on the preparation of biocoatings enriched with varying percentages of mint essential oil nanoparticles, followed by their application to potato tubers to limit sprouting and control the development of alkaloids, particularly solanine, a toxic substance for the body.
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.
C-ImmSim is one of the most advanced computational models of the immune system. The software resorts to (bit or amino acid) strings to represent the “binding site” of cells and molecules. C-ImmSim is an agent-based model that includes the major classes of immune cells of the lymphoid lineage and some of the myeloid lineage. Helper T cells are divided into five phenotypes. B cells and plasma B are also divided into two phenotypes.
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.
CPIAbot is a conversational assistant supporting the learning of Italian L2 for migrants. It has been tested in particular in the context of CPIA - Centri Provinciali per l'Istruzione degli Adulti - MIUR.
The portable device is intended to assess exposure to electromagnetic fields produced by an MRI equipment. The device (dosimeter) allows to improve the analysis and study of the problems related to the exposure of the operators, starting from the technical-scientific aspects related to the exposure, also allowing to create a manual of best practices as well as to improve the professional training of operators.
The technology has been developed over the past 25 years, implementing new innovative components during time. The methodology provides a set of 2D acoustic images in different frequency intervals, for revealing the structural damage (detachments, delaminations, structural weakening) in multi-layer structures and artworks (mural paintings, frescoes, ceramic panels, panel paintings). Recently, interesting results have been obtained in studies of the water related deterioration effects on antique masonry structures.
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.