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Bone Marrow Cell Image Analysis by Color Cytophotometry

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Biomedical Images and Computers

Part of the book series: Lecture Notes in Medical Informatics ((LNMED,volume 17))

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Abstract

A cell image analyzing system is described and recent advances in color processing algorithms are reported. Images of human bone marrow cells are acquired using red, green and blue broad band filters and processed according to a model based on the perceptual vision of color. The discriminatory power of hue, luminance and saturation computed on cells is discussed.

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References

  • ADELH, D.; BRUGAL, G.; CHASSERY, J. M.; CHIBON, P. and GARBAY, C., Microscopic image analysis system. Applications to biology: cell cycle, cancerous blood and bone marrow cells. Proc. IV th Int. Joint Conf. on Pattern Recog. Kyoto (Japon): 864–871 (1978)

    Google Scholar 

  • AUS, H. M.; RUTER, A.; MEULEN, V. T.; GUNZER, U. and NURNBERGER, R., Bone marrow cell scene segmentation by computer-aided color cytophotometry. J. Histochem. Cytochem., 25: 662–667 (1977).

    Article  Google Scholar 

  • BACUS, J. W., A whitening transformation for two-color blood cell images. In Pattern Recognition. Pergamon Press, 8: 53–60 (1976).

    Google Scholar 

  • BRENNER, J. F.; GELSEMA, E. S.; NECHELES, E. S.; NECHELES, T. F.; NEURATH, P. W.; SELLES, W. D. and VASTOLA, E., Automated classification of normal and abnormal leucocytes. J. Histochem. Cytochem., 22: 697–706 (1974).

    Article  Google Scholar 

  • BRENNER, J. F.; NECHELES, T. F.; BONACOSSA, I. A.; FRISTENSKY, R., WEINTRAUB, B. A. and NEURATH, P. W., Scene segmentation techniques for the analysis of routine bone marrow smears from acute lymphoblastic leukemia patients. J. Histochem. Cytochem., 25: 601–613 (1977).

    Article  Google Scholar 

  • BRUGAL, G.; GARBAY, C.; GIROUD, F. and ADELH, D., A double-scanning microphotometer for image analysis: hardware, software and biomedical applications. J. Histochem. Cytochem., 21: 144–152 (1979)

    Article  Google Scholar 

  • CASPERSSON, T., Uber den Chemischen Aufbau der Strukturen des Zellkernes. Scand. Arch. Physiol., 73, suppl. 8: 1–151 (1936).

    Google Scholar 

  • CHASSERY, J. M., Connectivity and consecutivity in digital pictures. Comp. Graph. and Image Proc., 9: 294–300 (1979).

    Google Scholar 

  • FU, K. S.; PAVLIDIS, T., Life Sciences Research Report 15. Biomedical Pattern Recognition and Image Processing. K.S. FU and T. PAVLIDIS eds. 441 p. Verlag Chemie (1979).

    Google Scholar 

  • GARBAY, C., Modélisation de la couleur dans le cadre de l’analyse d’images et de son application A la cytologie automatique. Thèse Ingénieur-Docteur. Institut National Polytechnique de Grenoble, (1979).

    Google Scholar 

  • GIROUD, F., Effets de la thyroxine exogène sur la cinétique cellulaire chez la larve du triton Pleurodeles waltlii Michah. étudiés dans le cadre du perfectionnement d’un système automatique d’analyse des images microscopiques. Thèse de Spécialité. Université de Grenoble (1979).

    Google Scholar 

  • GREEN, J. E., A practical application of computer pattern recognition research. The ABBOTT ADC-500 differential classifier. J. Histochem. Cytochem., 27: 160–173 (1979).

    Google Scholar 

  • MATHE, G.; POUILLART, P.; STERESCU, M.; AMIEL, J. L.; SCHWARZENBERG, L.; SCHNEIDER, M.; HAYAT, M.; DE VASSAL, F.; JASMIN, C. and LAFLEUR, M., Subdivision of classical varieties of acute leukemia. Correlation with prognosis and cure expectancy. Europ. J. Clin. Biol. Res., 16: 554–560 (1971).

    Google Scholar 

  • MATHERON, G., Théorie des ensembles aléato ires. Cahiers Centre Morph. Math., ENMP ed., Paris (1969).

    Google Scholar 

  • MERTZ, P. and GRAY, F.,A theory of scanning and its relation to the characteristics of the transmitted signal in telephotography and television. Bell System Tech. J., 13: 464–473 (1934).

    Google Scholar 

  • MILLER, N. M., Design and clinical results of HEMATRAK: an automated differential counter. IEEE Trans biomed. Eng., 23: 400 (1976).

    Article  Google Scholar 

  • MURPHY, S. B.; BORELLA, L.; SEN, L. and MAUER, A., Lack of correlation of lymphoblast cell size with presence of T-cell markers with outcome in childhood acute lymphoblastic leukemia. Brit. J. Haemat., 31: 95 (1975).

    Article  Google Scholar 

  • NADEL, E. M., Computer Analysis of cytometric fields by the CYDAC and its historical evolution from the CYTOANALYZER. Acta Cytol., 9: 203 (1965).

    Google Scholar 

  • NECHELES, T. F.; BRENNER, J. F.; BONACOSSA, I. A.; FRISTENSKY, R. and NEURATH, P. W., The computer-assisted morphological classification of acute leukemia. I-Preliminary results. Biomed. 25: 241 (1976).

    Google Scholar 

  • PANTAZOPOULOS, N. and SINKS, L. F., Morphological criteria for prognostication of acute lymphoblastic leukaemia. Brit. J. Naemat., 27: 25 (1974).

    Article  Google Scholar 

  • PREWITT, J. M. S. and MENDELSOHN, M. L., The analysis of cell images. An. N. Y. Acad. Sci., 128: 1035–1953 (1966).

    Article  Google Scholar 

  • ROSENFELD, A., Topics in applied physics. Digital picture analysis. A. ROSENFELD Ed. Springer Verlag, Berlin, 351 p. (1976).

    Google Scholar 

  • TOLLES, W. E., The CYTOANALYZER, an example of physics on medical research. Trans N. Y. Acad. Sci., 17: 250–256 (1955).

    Google Scholar 

  • VEILLON, F., One-pass computation of morphological and geometrical properties of objects in digital pictures. Signal Proc., 1: 175–189 (1979).

    Google Scholar 

  • WIED, G. L.; BARTELS, P. H.; BAHR, G. F. and OLFIELD, D. G., Taxonomic intra-cellular analytic system (TICAS) for cell identification. Acta Cytol., 12: 180–204 (1968).

    Google Scholar 

  • YOUNG, I. T., Automated leucocyte recognition. Ph. D. Dissertation. M. I. T. Cambridge, (1969).

    Google Scholar 

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© 1982 Springer-Verlag Berlin Heidelberg

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Brugal, G. (1982). Bone Marrow Cell Image Analysis by Color Cytophotometry. In: Sklansky, J., Bisconte, JC. (eds) Biomedical Images and Computers. Lecture Notes in Medical Informatics, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93218-2_4

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  • DOI: https://doi.org/10.1007/978-3-642-93218-2_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-11579-3

  • Online ISBN: 978-3-642-93218-2

  • eBook Packages: Springer Book Archive

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