Technologies

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.

At IFN-CNR, in collaboration with Politecnico di Milano-Department of Physics, we have developed Raman microscopy approaches compatible with the study and characterization of biological and industrial samples. In detail, our facility houses a self-built spontaneous confocal Raman microscope with the following characteristics: two excitation lasers (660nm and 785nm), inverted microscope (Olympus IX-73) and Princeton spectrometer / CCD.

Extracellular vesicles produced by teratocarcinoma cells were isolated and characterized. Functional assays on glioblastoma (GBM) cell cultures showed the inhibitory effect of these vesicles on tumor cell migration, without inducing undesirable effects such as increased cell proliferation or chemotherapy resistance.

The aim of the research group is the creation of 3D models (microorgan/ organoids) constructed using samples obtained from patients, both biopsy samples and samples collected with non-invasive techniques (exhaled breath condensate, induced sputum, blood samples).

We have identified the presence of the poorly characterized precursor proNGF-A in human tissues, deposited its coding nucleotide sequence (GenBank MH358394) and demonstrated its neuroprotective and neurotrophic activity in vitro and in vivo. We inserted mutations into the native molecule, identified through computational analysis, which allow proNGF-A production by eukaryotic expression systems, through a method currently validated on a laboratory scale.

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.

We developed an hybrid organic-inorganic composite consisting of a 2D perovskite and a copolymer. At room temperature the composite is highly transparent in the visible region with transmittance > 90%. At higher temperatures, the movement of the polymer chains releases the precursors, allowing the perovskite formation, which results in a colored film. The color changes according to the ‘n’ value of the PVK. PVK with n=1 starts coloring at 70°C, achieving a ∆T_max = 91.5% at 510 nm.

The invention is a synthetic method to prepare colloidal nanomaterials of V-VI-VII semiconductors that do not contain toxic elements. This is the first method for the synthesis of mixed anion nanomaterials without toxic elements at large, which permitted to obtain, among others, bismuth chalcohalide nanocrystals that are arguably considered as one of main candidates to be the next big thing for light energy conversion.

The invention concerns an apparatus for measuring the three-dimensional (3-D) sea surface elevation from moving and floating platforms. In particular, the invention consists of two or more synchronized digital video-cameras that frame, from distinct and remote points of view, a common portion of the sea surface. A triangulation process makes it possible to obtain a three-dimensional reconstruction of the sea surface from these images. The invention is particularly suitable for measuring sea waves.

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.