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Metoda wyodrębniania frakcji na podstawie analizy obrazu białek osocza ludzkiej krwi

Treść / Zawartość
Identyfikatory
Warianty tytułu
EN
Method of fraction differentiation basing on image analysis of human serum proteins
Języki publikacji
PL
Abstrakty
PL
W artykule opisano proces elektroforezy białek osocza ludzkiej krwi oraz wykorzystanie badania w diagnostyce chorób. Przedstawiona została koncepcja rozwijanej w ostatnich latach innowacyjnej techniki rozszerzonej elektroforezy, która ma na celu poprawę wykrywalności schorzeń. Zaprezentowany został również prototyp algorytmu wyodrębniania poszczególnych frakcji na podstawie analizy obrazu. Algorytm sprawdza kolejne poziomy szarości pikseli obrazu oraz wykorzystuje informacje o poziomie szarości kontekstu danego piksela.
EN
The article explains the process of human serum protein electrophoresis and its usage in diseases diagnostics. A basic concept of the extended electrophoresis is presented - an innovative and intensively developed diagnostic technique, which purpose is to increase the effectiveness of illnesses detection. The paper presents the prototype of an algorithm to differentiate serum fractions, which bases on image analysis. The algorithm scans the image in accordance with pixels' grayscale levels and uses the contextual grayscale values of the processed pixel.
Wydawca
Rocznik
Strony
709--722
Opis fizyczny
Bibliogr. 32 poz., rys., tab.
Twórcy
  • Katedra Automatyki, Akademia Górniczo-Hutnicza w Krakowie
autor
  • Collegium Medicum, Uniwersytet Jagielloński w Krakowie
Bibliografia
  • [1] Bankman I. (ed.), Handbook of Medical Imaging: Processing and Analysis. Academic Press, 2000.
  • [2] Benlakehal M., Le Bricon T., Feugeas J.P., Bousquet B., Effect of hemolysis on determination and electrophoresis of serum proteins. Annales de Biologie Clinique (Paris), May-Jun. 2000, 58(3), 367-71.
  • [3] Beucher S., Lantuejoul C., Use of watersheds in contour detection. International Workshop on Image processing, Real Time Edge and Motion Detection/Estimation, Rennes, France, 1979, 2.1-2.12.
  • [4] Beucher S., Extrema of grey-tone functions and mathematical morphology. Proc. of the Colloquium on Math. Morp., Stereol. and Image Analysis, Prague, Tchecoslovaquia, Sept. 1982, 59-70.
  • [5] Bogdanikowa B., Klinika białek osocza. Polski Związek Wydawnictw Lekarskich, 1963, 32-36.
  • [6] Gonzalez-Sagrado M., López-Hernandez S. et l., Alphal-antitrypsin deficiencies masked by a clinical capillary electrophoresis system (CZE 2000). Clinical Biochemistry, 2000 Feb.; 33( l), 79-80.
  • [7] Iakovidis D.K., Maroulis D. et al., A Genetic Approach to Spot Detection in Two-Dimensional Gel Electrophoresis Images. Proc. of International Conference on Information Technology in Biomedicine (ITAB), loannina, Greece, Oct. 2006.
  • [8] Kazhiyur-Mannar R., Smiraglia D.J., Plass Ch., Wenger R., Contour Area Filtering of 2-Dimensional Electrophoresis Images. Medical Image Analysis, 10, 2006, 353-365.
  • [9] Killingsworth L.M., CRC critical reviews in clinical laboratory science. Aug. 1979, 11(1), 1-30.
  • [10] Kuchinskene Z.Z., Composition, level and ratio of low density protein fraction and very low density lipoprotein subfraction in the serum of patients with chronic kidney insufficiency. Voprosy meditsinskoi khimii, Sep.-Oct. 1985, 31(5), 91-5.
  • [11] McMaster ML., Csako G., Protein electrophoresis, immunoelectrophoresis and immunofixation electrophoresis as predictors for high-risk phenotype in familial Waldenstrom macroglobulinemia. International Journal of Cancer, Mar. 2008, l, 122 (5), 1183-8.
  • [12] Lonberg-Holm K., Sandberg L.B., Doleman M.S., Owens A.J., Classification of malnutrition by statistical analysis of quantitative two-dimensional gel electrophoresis of plasma proteins. Computers and Biomedical Research, an International Journal, Aug. 1986, 19 (4), 340-60.
  • [13] Lutz W., Perspectives in the study of plasma proteins and their value in clinical diagnosis. Polski Tygodnik Lekarski, Oct. 1980, 35(43), 1667-70.
  • [14] Meyer-Baese A., Pattern Recognition in Medical Imaging. Elsevier-Academic Press, 2004.
  • [15] Nugues P.M., Two Dimensional Electrophoresis Image Interpretation. IEEE Transactions on Biomedical Engineering, vol. 40, No. 8, 1993.
  • [16] Olsen O.F., Nielsen M., Multi-scale gradient magnitude watershed segmentation. Springer-Verlag, 1997, vol. l, 6-13.
  • [17] Pearce C.B., Zinkevich V. et al., Using the polymerase chain reaction coupled with denaturing gradient gel electrophoresis to investigate the association between bacterial translocation and systemic inflammatory response syndrome in predicted acute severe pancreatitis. World Journal of Gastroenterology, Dec. 2005, 7, 11(45), 7142-7.
  • [l8] Pedersen L., Analysis of two-dimensional electrophoresis gel images. Informatics and Mathematical Modelling Ph.D. Thesis No. 96 Kgs. Lyngby 2002.
  • [19] Pushkarev I.A., Borisov L. et al., Use of agarose gel and cellulose acetate electrophoresis for detecting and identifying monoclonal immunoglobulin. Laboratornoe dęło. (10), 1979, 606-9.
  • [20] Rasouli M., Okhovatian A„ Enderami A., Clinical Chemistry and Laboratory Medicine. 43(9), 2005, 913-8.
  • [21] Righetti P.G., Electrophoresis: The march of pennies, the march of dimes. Journal of Chromatography A, 1079 (2005), 24-40.
  • [22] Tadeusiewicz R., Korohoda P, Komputerowa analiza i przetwarzanie obrazów. Kraków, Wydawnictwo Postępu Telekomunikacji 1997.
  • [23] Tadeusiewicz R., Ogiela M.R., Automatic image understanding a new paradigm for inteligent medical image analysis. Bio-Algorithms and Med-Systems, vol. 2, no. 3, 2006, 3-9.
  • [24] Tadeusiewicz R., Ogiela M.R., Structural approach to medical image understanding. Bulletin of the Polish Academy of Sciences, Technical Sciences, vol. 52, no. 2, 2004, 131-139.
  • [25] Walkowiak B., Kochmańska V. et al., Elektroforeza - przyklady zastosowań. Łódź, Warszawa, Amersham Biosciences 2002.
  • [26] Waśko M. et al., Chromatoelectrophoresis. A method disclosing molecular weight and charge of serum proteins. Eur J Med Res 11 (Supplement II) I-XVIII, 7, 2006.
  • [27] Steiman I., Norwood C., Charache S., Quantitative analysis of abnormal hemoglobins by agar gel electrophoresis. The Journal of Laboratory and Clinical Medicine, Mar. 1985, 105(3), 328-30.
  • [28] Sun T., Lien Y.Y., Gross S., Clinical application of a high-resolution electrophoresis system: a review of electrophoretic patterns in disease. Annals of Clinical and Laboratory Science, May-Jun. 1978, 8 (3), 219-27.
  • [29] Van Lente F., Marchand A., Galen R.S., Diagnosis of hemolytic disease by electrophoresis of erythrocyte lactate dehydrogenase isoenzymes on cellulose acetate or Agarose. Clinical Chemistry, Aug. 1981,27(8), 1453-5.
  • [30] Vincent L., Morphological Grayscale Reconstruction: Definition, Efficient Algorithm and Applications in Image Analysis. Proc. of IEEE Conference on Comp. Vision and Pattern Recog., Champaign IŁ, June 1992, 633-635.
  • [31] Weinstein M.J., Deykin D., Davie E.W., Quantitative determination of factor-VIII protein by two-stage gel electrophoresis. British Jouranl of Haematology, Jul. 1976, 33(3), 343-55.
  • [32] Ye X., Ching Y. et al, A Recent Development in Image Analysis of Electrophoresis Cels. Vision Interface, 1999.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-AGH1-0017-0046
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