Research

This project combines experimental development and industrial research provided by a two-member consortium – NUM solution s.r.o. and Institute of Scientific Instruments of the CAS, v. v. i. The subject of this project is research and development of control AW for optimization of thermodynamic conditions in the specimen chamber and research and development of a new cooling stage for samples with integrated high-efficiency ionization detector of signal electrons for scanning and environmental scanning electron microscopes.

Main aims of submitted project are the following: 1. Realization of reticle using diffractive amplitude or phase element for the visible spectrum range. Design of diffractive structures for one or more specific wavelengths and their fabrication by techniques of electron beam lithography. Optical and structural control of fabricated elements. 2. Development and realization of glass mask substrate for replicated production of reticles with sub-micrometer lateral and height dimensions for technique of optical Nanolmprint lithography.

The project addresses the development of hyperspectral camera with high spectral resolution and range of wavelengths 350-1100 nm. On the market are only systems with spectral resolution, which is not suitable for element and molecular analysis, appropriate wavelength range is low. The project aims to develop equipment - hyperspectral camera with high spectral resolution and ability to tune over wavelength lengths in the range 350-1100 nm. This camera is able to provide complex metabolite, pigment and other substances analysis contained in the observed object.

Proposed project is focused on the prediction of neurostimulation methods (vagal nerve stimulation, deep brain stimulation) efficacy in patients with epilepsy. Neurostimulation leads to significant seizure reduction in approximately 50% of implanted patient. By now, we are not able to identify patients who can benefit from implantation of neurostimulator pre-operatively. We managed to develop a statistic mode, which is able to predict efficacy of vagal nerve stimulation based on routine pre-implantation EEG.