Institute of Information Theory and Automation

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Dr. Ing. Jan Schier

Position: 
research fellow
Mail: 
Room: 
Fax: 
284680730
Phone: 
266052470
Research interests: 
bioimaging and medical imaging; image processing for microscopy; digital image processing methods; particularly image denoising and image segmentation methods; image information processing; open-source tools for bioimaging
Publications ÚTIA: 
list

Education and affiliation
Jan Schier received his M.Sc. degree in Technical cybernetics from the Faculty of Electrical Engineering, Czech Technical University in Prague in 1989 and his Ph.D. degree from the Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague in 1995. During his Ph.D. studies, he has joined the Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Prague. Recently, he has been with the Department of Image Processing.

Visiting appointments and visiting positions
Between 1995-1997 he held several short visiting appointments with the Faculty of Electrical Engineering, Mathematics and Computer Science (EWI), TU Delft, the Netherlands. In 1998-2002 he held visiting position with the SISTA/ESAT group, KU Leuven, Belgium. In both cases, he has been contributing in the field of applied signal processing (signal processing and object detection for the FMCW collision-avoidance radar, fixed-point implementation of ADSL equalization algorithms).

Research and professional interests
Signal processing After his return to Prague he was involved in implementations of signal processing algorithms in programmable hardware (FPGA), including an industrial cooperation with the UK-based Celoxica company.

Image processing An informal cooperation with the Yeast Colony Group of the Department of Genetics and Microbiology at the Faculty of Sciences, Charles University, started his interest in bioimaging. His research interests cover mainly the image denoising and image segmentation methods and their application in microscopy and fluorescence imaging, as well as the open-source tools for image processing and evaluation, namely the ImageJ/Fiji.
system

He has been the principal investigator of the TA01010931 project System for support of the FISH method evaluation, funded by the Technology Agency of the Czech Republic, targeted as computer-aided diagnostics of the Turner syndrome using digital image processing methods on the fluorescence in-situ hybridization (FISH) microscopy images.

Awards
His conference paper "Automated counting of yeast colonies using the Fast Radial Transform algorithm", jointly authored with Bohumil Kovář, has been awarded the Best paper award at the BIOINFORMATICS 2011 conference, organized by INSTICC.

Organizing
In 2015 and 2014, he has been program co-chair of the BIOIMAGING conference, in 2012 of the BIOINFORMATICS conference, all held with the frame of the BIOSTEC conference, organized by INSTICC.

Dissemination activities
In the recent years, he has been supervising several secondary-school students in the frame of the Open science program of the Academy of Sciences.
In 2018, in the frame of "What can computer see in a microscope" internship, he supervises Josef Polášek from the Johannes Kepler Grammar School, Sotirios Pupakis from the Olga Havlová Grammar School and Jiří Nábělek from the Nicolaus Copernicus Grammar School.

You could also meet him at the UTIA stand at the Science Fair popularization event.

admin: 2018-04-24 15:06

Person detail

Duration: 2018 - 2020
The goal of the project is to develop new methods for colour image acquisition and processing and to apply the results of this research in selected practical applications. The project is aimed at colour image with high colour resolution, with up to several tens colour components.
Duration: 2011 - 2014
GenEx - System for support of the FISH method evaluation The goal of this project is to develop a system for computer-aided evaluation of molecular cytogenetic analyses. The primary use of the system is in evaluation of image data originating from the FISH (Fluorescence In-Situ Hybridization) analysis.