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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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Tom
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129--135
Opis fizyczny
Bibliogr. 14 poz., rys.
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- Jagiellonian University, Medical College, Cracow, Poland
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Bibliografia
- [1] BOGDANIKOWA B.: Klinika białek osocza. Polski Związek Wydawnictw Lekarskich 1963
- [2] KILLINGSWORTH LM: CRC critical reviews in clinical laboratory science. 1979 Aug; 11(1): 1-30
- [3] LUTZ W: Perspectives in the study of plasma proteins and their value in clinical diagnosis Polski Tygodnik Lekarski. 1980 Oct;35(43):1667-70.
- [4] MCMASTER ML, CSAKO G. Protein electrophoresis, immunoelectrophoresis and immunofixation electrophoresis as predictors for high-risk phenotype in familial Waldenström macroglobulinemia. International journal of cancer. 2008 Mar 1;122 (5):1183-8.
- [5] PEDERSEN L. Analysis of two-dimensional electrophoresis gel images, Informatics and Mathematical Modelling Ph.D. Thesis No. 96 Kgs. Lyngby 2002
- [6] PUSHKAREV IA, BORISOV LL, PETERS VH, STORCH H, GUSEVA LN. Use of agarose gel and cellulose acetate electrophoresis for detecting and identifying monoclonal immunoglobulin. Laboratornoe delo. 1979;(10):606-9.
- [7] RIGHETTI PG: Electrophoresis: The march of pennies, the march of dimes. Journal of Chromatography A, 1079 (2005) 24–40
- [8] SEZGIN M., SANKUR B., Survey over image thresholding techniques and quantitative performance evaluation, Journal of Electronic Imaging 13(1), 146–165, 2004
- [9] TADEUSIEWICZ R., KOROHODA P., Komputerowa analiza i przetwarzanie obrazów. Wydawnictwo Postępu Telekomunikacji, Kraków 1997
- [10] WAŚKO M., KONIECZNY L., ROTERMAN I., Chromatoelectrophoresis. A method disclosing molecular weight and charge of serum proteins, Eur J Med Res 11 (Supplement II) I-XVIII, 7, 2006
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- [13] http://opencvlibrary.sourceforge.net/
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Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-article-PWA4-0006-0018