Chromatoelectrophoresis is a laboratory technique which depicts changes in multiple protein fractions inclusively. The combined, simultaneous analysis based on two key protein features (charge and molecular weight) offers a unique opportunity for better understanding of serum protein composition as well as it indicates the fraction which needs more thorough investigation. Because of those promising features, the chromatoelectrophoresis with automated analysis is expected to be a valuable laboratory test, aiding the process of medical diagnosis. However, without information technology support, analyzing the results of chromatoelectrophoresis would be tedious and time-consuming. For better optimization, both an algorithm for output image analysis and application with user-friendly interface were developed. Planning, development and testing were conducted at AGH University of Science and Technology and Jagiellonian University, Medical College in Cracow, Poland. With this article, we present the results of the first year of cooperation, code-named ChromSee.org project. The algorithm for distinguishing, naming and analyzing the content of fractions, the application and their utility in real-life settings are described, as well as potential future developments.
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