Image processing solutions
Welcome to Vratis.com
Vratis Ltd. specializes in performing project-based image processing algorithm development and testing. Our experience is strongly connected with machine vision and ranges from biological and medical applications to optical inspection and quality control.
We are a provider of high-end software solutions for high technology SMEs specializing in engineering and medical sciences. Our solutions are based on state-of-the-art research with industry-specific software expertise in biotechnology, medicine and IT sectors. Headquarters in Wrocław, strong relation to Wroclaw University of Technology, highly educated staff, and experience in research and software development make us a reliable partner.
Press release
20.08.2008
SlidePath
partner with Vratis to accelerate the development of their tissue
imaging capability.
SlidePath, developer of the worlds leading
software for Digital Slide applications in clinical, research and
education is pleased to announce a partnership with Vratis, a company
with a specialist interest in image processing, statistical pattern
recognition and algorithm development. The partnership will focus on
the further expansion of SlidePath’s tissue imaging capability.
Vratis CSO Dr. Wojtek Tarnawski acknowledges that “Image
processing algorithms developed especially for histopathological
analysis of Tissue Microarrays will enable computer-aided assessment of
digital slides and will also provide the first steps towards
high-throughput screening solutions”.
SlidePath CEO Dr. Donal O’Shea says “Our collaboration with Vratis will help to ensure that we continue to provide the highest quality software solutions to our customers world-wide and that our tissue image analysis capability is best of breed”.
Computational Fluid Dynamics
16.06.2008
Vratis announces a research project with LTNT group at ETH Zurich on hardware acceleration of Computational Fluid Dynamics.
Genome-scale RNAi profiling of cell division
24.11.2007
We are proud to announce that our
algorithm that
detects the mitotic index was successfully used in the genome-wide HCS
experiment, described in the folowwing Nature publication:
Genome-scale RNAi
profiling of cell division in human tissue culture cells
Published online in Nature
Cell Biology: 11 November 2007 | doi:10.1038/ncb1659