TeraPro, a system for processing large biomedical images

  • Authors:
  • K. N. Kozlov;P. Baumann;J. Waldmann;M. G. Samsonova

  • Affiliations:
  • St. Petersburg State Polytechnic University, St. Petersburg, Russia 195251;Jacobs University, Bremen, Germany 28759;Jacobs University, Bremen, Germany 28759;St. Petersburg State Polytechnic University, St. Petersburg, Russia 195251

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2013

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Abstract

Image analysis plays an important role both in medical diagnostics and in biology. The main reasons that prevent the creation of objective and reliable methods of analysis of biomedical images are the high variability and heterogeneity of the biological material, distortion introduced by the experimental procedures, and the large size of the images. This paper presents preliminary results on creating a system called Ter-aPro, which combines a platform for image processing (ProStack) and a raster data storage system (rasdaman). This integrated system can be used in a cloud environment, providing access to the methods of visualization, analysis, and processing of a large amount of images through the Internet. Such an approach increases the speed and quality of image understanding and softens the limitations imposed by other systems. The system allows us to view uploaded images in the browser without having to install additional software on any device connected to the Internet, such as tablet computers and smartphones. This paper presents the preliminary results of processing biomedical images.