Research

Ing. Lukáš Šilhan

Email: silhan@isibrno.cz

Tel.: +420 541 514 531

Undefined
Research
A paper SHG imaging through a multimode fiber by the Complex Photonics group was published in Optica. continue

STN-DBS outcomes in Parkinson´s disease: the influence of vascular, cardiovascular, metabolic, and inflammatory co-morbidities

Deep brain stimulation (DBS) is an established treatment for late motor symptoms in Parkinson’s disease (PD). Although DBS is generally a successful therapy, it has limitations including insufficient clinical effects and adverse side effects. The effect of DBS and disease progression is reflected by modulation of cerebral bioelectrical activity that can be measured by electrophysiological studies. The long-term clinical outcome for PD patients with DBS does not depend exclusively on the efficacy of the DBS therapy.

English

Ultra-high-frequency ECG for prediction of adverse left ventricular remodeling in permanent right ventricular pacing

Over the last almost twenty years, there has been a continuous search for a method of pacing that can avoid adverse left ventricular (LV) remodeling and heart failure. Both apical and right ventricular (RV) septal pacing were found to have similar clinical outcomes, in as much as they both lead to dyssynchronous ventricular contractions. Patients exhibiting substantial ventricular dyssynchrony during pacing are at the highest risk of adverse LV remodeling.

English

Cavity mediated interactions between levitated particles

Motion of an optically levitated nanoparticle in high vacuum is sufficiently well isolated from a room temperature environment. Together with recently developed method of cavity cooling by coherent scattering, it has allowed the collaborating group from Vienna to achieve ground state cooling of the nanoparticle motion with an optical cavity, paving the way toward further experiments with nanoparticles in the quantum regime.

English

Development of in-situ techniques for characterization of materials and nanostructures

The aim of the proposed project is to develop new technologies for the LiteScope device ™ expanding its imaging capabilities with functionalities that will attract new users-customers and help Nenovision to establish itself in developed foreign markets. Three areas have been identified that will allow the necessary technological and commercial advantage to be obtained.

English

Advanced methods in detection of pathogenic microorganisms and analysis the antimicrobials’ effect using Raman spectroscopy and other methods at the molecular level in optofluidic systems

The project addresses design, development and use of physical methods for research of microbial pathogens and their interactions with the environment. The metabolic processes of these microorganisms are regulated by various influences, such as oxygen availability, temperature, culture age, the presence of biofilm, other bacterial species, bacteriophages, or antimicrobial drugs. These interactions remain largely unexplored due to lack of techniques that would allow long-term non-destructive chemical analysis of individual cells under strictly regulated conditions.

English

Development of “3D print-thermal spray” systems for applications with dynamic and impact loading

The strategic goal of the project is to increase the international competitiveness of project participants in the field of additive technologies and thermal spraying and the application of new production processes to a selected representative in the industrial sphere. The main technical objective of the project is the development of a 3D printed metal substrate - thermal spray (TS) coating system with increased resistance to harsh environment with a predicted response to dynamic, cyclic and vibration service loads.

English

Robotic system for the detection of metabolic substances and pathogens in plants in order to increase the production of medicinal substances

The aim of this project is development and manufacturing of automated robotic system for detection of metabolites and pathogens in plants in order to improve yield of medical substances. Developed device will be integrated into current PlantScreen robotic platform, which has established itself on the market and represents benchmark of plant phenotyping systems among customers. Software module will be implemented at the same time, using advanced computational techniques for “big data” handling and e.g.

English
Research
New international project “DEEPER” (Deep Brain Photonic Tools for Cell-Type Specific Targeting of Neural Diseases) has been launched on 1st January 2021. continue

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