Projects

Interdisciplinary R&D team is engaged in:


Research

  • Fundamentals and characterization of Laser-induced plasma
  • Clinical research and analysis of bio-samples
  • Toxicology and nanoparticles detection
  • Analysis of steel - carbon detection
  • Analysis of soils - detection of nutrition elements
  • Remote online diagnostics of production process
  • Chemical mapping and depth profiling - μm scale resolution and high repetition rate
  • Spectra processing - chemometric techniques, data mining, neural networks
  • Combination with Raman spectroscopy, X-Ray computed tomography


Mechanical and optical design

  • Mechanical, fine mechanics and mechatronics design
    • Design of eye-safe compartments for laser systems
    • Development of sample manipulators using motorized stages
    • Tailor-made sample holders (for pellets, biological samples, rocks) ensuring  stable experimental conditions (i. e. temperature)
  • Vacuum and pressure gas systems
    • Medium vacuum systems optimized for laser spectroscopy
  • Optical and optomechanical design
    • Laser optics and spectroscopy systems for collecting of plasma radiation
    • Imaging systems and sample illumination modules
    • Development of motorized lens and mirror mounts
  • Prototyping and testing of designed instruments and modules


Software and control electronics development

  • Bare metal – cable management, assembly, and testing of devices
    • synchronization of measurement devices, detectors, lasers and other auxiliary devices
  • Low level – design, production and testing of custom developed electronics
    • Firmware for ARM and AVR microprocessors, in future SoM
    • Communication over RS485 and Ethernet
  • Middle level – interfacing with spectrometers, lasers, and custom developed electronics
    • GUI applications for spectrometers and lasers
    • Bootloader and custom electronics controls
  • High level – programming and interfacing the entire devices
    • GUI applications for measurement control
    • Computationally extensive spectrum analysis applications
  • Data analysis – multivariate statistics, machine learning
    • Applications of data science in spectroscopy
    • Investigation of recent approaches in data processing, currently deep learning




Academic cooperation

Austria - Technical University Wien - Dr. Andreas Limbeck

Finland - University of Jyväskylä - Dr. Saara Kaski

France - University of Lyon - Dr. Vincent Motto-Ros

Germany - Federal Institute for Materials Research and Testing - Dr. Igor B. Gornushkin

Italy - University of Bari - prof. Alessandro De Giacomo

Spain - University of Malaga - prof. Javier Laserna

USA - University of Florida - Dr. David W. Hahn

USA - University of Massachusetts - prof. Nouredine Melikechi