Abstract
Flow cytometry is the best method for classifying leukemias and lymphomas (Braylan, 1989; Braylan, 1993; Deegan, 1989; Drexler, 1987; Duque, 1993; Foon, 1986; Neame, 1986; Stewart, 1989, 1990A, 1990B, Terstappen, 1988; Verwer, 1993; Weber, 1990; Wilman, 1989). In a flow cytometer, a distinct group of cells is identified by its repertoire of cell surface markers or epitopes. An epitope is labeled using a monoclonal antibody with an attached fluorochrome. A flow cytometer is used to detect the monoclonal antibody through its attached fluorochrome, which, in turn, identifies an epitope on a cell. Appropriate combinations of monoclonal antibodies provide a set of probes for labeling all important epitopes. This process enables the identification of cell types in a specimen. For three-color immunophenotyping, the set of three different probes is referred to as a panel. Each panel is designed to label a specific set of cell types. A panel of three probes provides more information about specific groups of cells than do panels of one or two probes. This additional information requires the use of more complex data analysis methods than are now available.
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References
Bakker Schut TC, De Grooth BG, Greve J. Cluster analysis of flow cytometric list mode data on a personal computer. Cytometry 14:649–659, 1993.
Bartels PH, Olson GB, Jeter, WS, Wied GL: Evaluation of unsupervised learning algorithms in computer analysis of lymphocytes. Acta Cytol. 18:376–388, 1974.
Beckman RJ, Salzman GC, Stewart CC: Classification and Regression Trees for Bone Marrow Immunophenotyping. Cytometry, 1995, in press.
Braylan RC, Benson NA: Flow cytometric analysis of lymphoma. Arch. Pathol. Lab. Med. 113:627–633, 1989.
Braylan RC: Lymphomas. In: Clinical Flow Cytometry. Principles and Applications, Bauer KD, Duque RE, Shankey TV (eds). Williams and Wilkins, Baltimore, 1993, pp. 203–234.
Breiman L, Friedman JH, Olshen RA, Stone CJ: Classification and Regression Trees. Wadsworth and Brooks, Monterey, CA, 1984.
Conrad MP: A rapid, nonparametric clustering scheme for flow cytometry data. Pattern Recog. 20:229–235, 1987.
Crowell JM, Hiebert RD, Salzman GC, Price BJ, Cram LS, Mullaney PF: A light-scattering system for high-speed cell analysis. IEEE Trans. Biomed. Engin. BME–25:519–526, 1978.
Davies DL, Bouldin DW: A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI–1:224–227, 1979.
Deegan MJ: Membrane antigen analysis in the diagnosis of lymphoid leukemias and lymphomas. Arch. Pathol. Lab. Med. 113:606–618, 1989.
Demers S, Kim J, Legendre P, Legendre L: Analyzing multivariate flow cytometric data in the aquatic sciences. Cytometry 13: 291–298, 1992.
Drexler HG: Classification of acute myeloid leukemias - a comparison of FAB and immunophenotyping. Leukemia 1: 697–705, 1987.
Duque RE: Acute Leukemias. In: Clinical Flow Cytometry. Principles and Applications, Bauer KD, Duque RE, Shankey TV (eds). Williams and Wilkins, Baltimore, 1993, pp. 235–246.
Foon KA, Todd RF: Immunologic classification of leukemia and lymphoma. Blood 68: 1–31, 1986.
Genter FC, Salzman GC: A statistical approach to the classification of biological cells from their diffraction patterns. J. Histochem. Cytochem. 27:268–272, 1979.
Kosugi Y, Sato R, Genka S, Shitara N, Takakura K: An interactive multivariate analysis of FCM data. Cytometry 9:405–408, 1988.
Mahalanobis PC: On the generalized distance in statistics. Proc. Natl. Inst. Sci. India 2:49–55, 1936.
Milligan GW, Cooper MC: An examination of procedures for determining the number of clusters in a data set. Psychometrika 50: 159–179, 1985.
Murphy RF: Automated identification of subpopulations in flow cytometric list mode data using cluster analysis. Cytometry 6:302–309, 1985.
Neame PB, Soamboonsrup P, Browman GP, Meyer RM, Benger A, Wilson WE, Walker IR, Saeed N, McBride JA: Classifying acute leukemia by immunophenotyping: a combined FAB - immunologic classification of AML. Blood 68: 1355–1362, 1986.
Ryan DH: Detection of minimal residual disease by flow cytometry. In: Clinical Flow Cytometry. Principles and Applications, Bauer KD, Duque RE, Shankey TV (eds). Williams and Wilkins, Baltimore, 1993, pp. 479–496.
Salzman GC, Crowell JM, Goad CA, Hansen KM, Hiebert RD, LaBauve PM, Martin JC, Ingram M, Mullaney PF: A flow-sytem multiangle light scattering instrument for cell characterization. Clin. Chem. 21:1297–1304, 1975.
Salzman GC, Crowell JM, Hansen KM, Ingram M, Mullaney PF: Gynecologic specimen analysis by multiangle light scattering in a flow system. J. Histochem. Cytochem. 24:308–314, 1976.
Salzman GC, Hiebert RD, Crowell JC: Data acquisition and display for a high speed cell sorter. Comput. Biomed. Res. 11:77–88,1978.
Salzman GC, Wilkins SF, Whitfil JA. Modular computer programs for flow cytometry and sorting. Cytometry 1: 325–336, 1981.
Salzman GC, Stewart CC, Duque RE: Expert systems for flow cytometry data analysis: a preliminary report. In: New technologies in cytometry and molecular biology. Salzman GC (ed). Proc. SPIE 1206:98–105, 1990A.
Salzman GC, Duque RE, Braylan RC, Stewart CC: A CLIPS expert system for clinical flow cytometry data analysis. In: Proceedings of the 1st CLIPS user’s group conference, Houston, Texas, 13–15 August 1990B.
Salzman GC, Bartels PH: Expert systems for cytometry data analysis. In: Clinical Flow Cytometry. Principles and Applications, Bauer KD, Duque RE, Shankey TV (eds). Williams and Wilkins, Baltimore, 1993, pp. 585–601.
Späth H: Cluster dissection and analysis. Theory, FORTRAN programs and examples. Halsted Press. John Wiley and Sons, New York, 1985.
Stewart CC: Multiparameter flow cytometry for clinical applications. In: New technologies in cytometry. Salzman GC (ed). Proc. SPIE 1063:150–160, 1989.
Stewart CC: Cell preparation for the identification of leukocytes. In: Methods in Cell Biology, Volume 33, Flow Cytometry. Darzynkiewicz Z, Crissman C (eds). Ch. 39. Academic Press, San Diego, 1990A.
Stewart CC: Multiparameter analysis of leukocytes by flow cytometry. In: Methods in Cell Biology, Volume 33, Flow Cytometry. Darzynkiewicz Z, Crissman C (eds). Ch. 40. Academic Press, San Diego, 1990B.
Terstappen LWMM, Loken MR: Five-dimensional flow cytometry as a new approach for blood and bone marrow differentials. Cytometry 9:548–556, 1988.
Verwer BJH, Terstappen WMM: Automatic lineage assignment of acute leukemias by flow cytometry. Cytometry Suppl. 6: 44, 1993.
Weber JE, Bartels PH: Statistical identification of subpopulations for flow cytometric data. In: New technologies in cytometry and molecular biology. Salzman GC (ed). Proc. SPIE 1206:19–30, 1990.
Wilman C, Stewart CC: General principles of multiparameter flow cytometric analysis: applications of flow cytometry in the diagnostic pathology laboratory. Semin. Diagn. Pathol. 6:3–12, 1989.
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© 1996 Springer-Verlag Berlin Heidelberg
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Salzman, G.C., Beckman, R.J., Parson, J.D., Nauman, A.M., Stewart, S.J., Stewart, C.C. (1996). Flow Cytometric Immunophenotyping Using Cluster Analysis And Cluster Editing. In: Jacquamin-Sablon, A. (eds) Flow and Image Cytometry. NATO ASI Series, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-61115-5_15
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DOI: https://doi.org/10.1007/978-3-642-61115-5_15
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