Research

The aim of the present project is the development and design of new neutron proportional detectors using modern technologies and software tools. Two types of detectors will be developed, a pressure detector with constant pressure and a flow detector with adjustable gas pressure in the detector. The development will focus on the use of electron and laser welding and machining techniques, vacuum brazing and others that will allow us to realize detectors of the required quality.

The main aim of the project is to develop a functional prototype of a portable Laser Induced Breakdown Spectroscope (LIBS) for analysis of biological samples. This will enable a rapid, precise and safe analysis of elements, without any need for sample extraction and their transport to a laboratory. Currently, there are devices designed (optimized) for metallurgical and geological samples, but not for biological ones. New methods of measurement and algorithms for the analysis (classification) of spectra need to be developed.

The project aims to develop AI BBECG technology (BroadBand ECG). BBECG exploits the different attenuation properties of ECG at various frequencies and thus allows precise spatial localization of the sources of electrical activation of the heart chambers. Because BBECG provides new information, it is an ideal basis for learning artificial intelligence (AI) models that exploit information sources in high-frequency components. Thus, AI BBECG models will bring new information value to cardiology.

This project aims to advance the field of intracranial EEG (iEEG) analysis in epileptology by building on the previous development of modular software tools and multicentre databases that our group has developed over the last four years. The aim is to train, validate and prospectively test models machine learning models for epileptogenic zone localization and prediction of surgical outcomes. It is expected that results will increase clinicians' confidence in these models and ultimately improve epilepsy treatment.

The subject of the project is to innovate the security of personal identification documents through visual large-area optical security elements and machine-readable thin-film optoelectronic elements.

The aim of the project is to develop an innovative solution for recording 3D structures in submicrometer scale. The proposed solution could accelerate the recording of objects by up to two orders of magnitude and thus bring the technology closer to industrial applications. The proposed solution is a holografický module that will enhance the existing IQnano3D device and contribute to a significant competitive advantage in the international field.

The project addresses joint systematic analysis of temperature and velocity fluctuations in mutually complementary high Rayleigh number experiments performed with different fluids.

Multižánrový hudební festival Akademie věd určený široké veřejnosti.

The aim of the proposed PRAK project is to establish a spin-off company at the Institute of Instrumentation Technology of the CAS, v.v.i. in Brno, which will specialize in the preparation of high-quality large-scale graphene layers for application in electron microscopy, especially in the field of detection systems.

Cílem projektu je navázat na dosavadní výzkum umělých magnetických spinových systémů a pokračovat ve spolupráci s CNRS Institut Néel ve Francii (Dr. Nicolas Rougemaille). Tato spolupráce propojuje expertízy ÚPT (elektronová litografie) a Institut Néel (výzkum a modelování umělých spinových systémů).