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  • Produktbild: Flow Cytometry in Hematopathology
  • Produktbild: Flow Cytometry in Hematopathology

Flow Cytometry in Hematopathology A Visual Approach to Data Analysis and Interpretation

Fr. 209.00

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.11.2014

Verlag

Humana Press

Seitenzahl

344

Maße (L/B/H)

27.9/21/2.1 cm

Gewicht

944 g

Auflage

2nd edition 2007

Sprache

Englisch

ISBN

978-1-62703-911-6

Beschreibung

Rezension

"The first edition of this book was wonderful, and this updated edition continues the tradition of excellence.  You need this book for ready access if you do hematopathology." -Doody's Book Review, Weighted Numerical Score:96 - 4 Stars

From the reviews of the second edition:

"The book is nicely illustrated and contains numerous colour figures illustrating the broad variety of flow cytometry applications in various haematological conditions. … The book is very well suited for clinical pathologists, assistants in training in the field of laboratory medicine and clinical pathology, medical technicians and researchers working in clinical haematology laboratories, as well as clinical haematologists who want to get familiar with the recent evolutions in … diagnostic laboratory medicine." (Joris Delanghe, Acta Clinica Belgica, Vol. 63 (2), 2008)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.11.2014

Verlag

Humana Press

Seitenzahl

344

Maße (L/B/H)

27.9/21/2.1 cm

Gewicht

944 g

Auflage

2nd edition 2007

Sprache

Englisch

ISBN

978-1-62703-911-6

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Flow Cytometry in Hematopathology
  • Produktbild: Flow Cytometry in Hematopathology
  • Table of Contents

    Preface to second edition
    Preface to first edition
    Acknowledgements
    List of Abbreviations
    List of Case Studies
    Color Plates

    Chapter 1 Approach to Flow Cytometry - General Considerations

    1.1 Reasons for the necessity of proper data analysis
    1.1.1 The pitfalls of the FCM data format of 'percent positive' per
    antibody tested
    1.2 General aspects of FCM data analysis and interpretation
    1.3 Other applications of FCM in hematopathology
    1.4 Maturation and differentiation of hematopoietic elements, an
    overview based on the immunologic markers currently in use in the FCM
    laboratory

    Chapter 2 FCM immunophenotyping and DNA analysis - Practical aspects
    that can affect data analysis and interpretation

    2.1 Sample selection
    2.1.1 Liquid specimens
    2.1.2 Solid tissue specimens
    2.2 Preparing nucleated cell suspensions
    2.3 Cell yield and viability
    2.4 Sample staining.
    2.4.1 Surface antigens
    2.4.2 Intracellular antigens
    2.4.3 DNA content
    2.5 Data acquisition
    2.5.1 Calibration
    2.5.2 Color compensation
    2.5.3 List mode data collection
    2.5.4 Exclusion of nonviable cells
    2.6 Antibody panel design
    2.6.1 Antibody selection
    2.6.1.1 Anti-light chain antibodies
    2.6.2 Fluorochrome conjugation
    2.7 Comprehensive antibody panels
    2.7.1 Disease-oriented antibody panels
    2.7.2 Antibody panels oriented by specimen type
    2.8 Tailored panels and add-on testing
    2.8.1 Minimal residual disease
    2.9 FCM immunophenotyping data representation
    2.9.1 Analysis panels
    2.9.2 Color display
    2.10 Approach to DNA data analysis
    2.10.1 DNA ploidy
    2.10.2 S-phase

    Chapter 3 FCM data analysis on nearly homogeneous samples

    3.1 FCM parameters
    3.1.1 Forward scatter
    3.1.2 Side scatter
    3.1.3 Fluorescence
    3.1.3.1 Heterogeneous fluorescence intensity (bimodal, variable)
    3.2 Fluorescence dynamic range
    3.3 Strategy to the visual review of FCM immunophenotyping data
    3.4 Common SSC/CD45 patterns
    3.4.1 Assessment of the blast population
    3.4.2 Immature neoplastic cells with downregulated CD45
    3.4.3 SSC/CD45 in mature lymphoid disorders
    3.5 Other dot plot patterns useful in acute leukemia diagnosis
    3.5.1 Useful antigenic features in AML
    3.5.1.1 Myeloid phenotypic abnormalities and MRD detection
    3.5.2 Precursor B-ALL vs bone marrow B-cell progenitors
    3.5.3 Useful antigenic features in precursor T-lymphoma/leukemia
    3.6 Evaluation of mature lymphoid malignancies
    3.6.1 Assessment of surface light chain expression
    3.6.2 Assessment of pan B-cell antigens
    3.6.3 Useful antigenic features in mature B-cell malignancies
    3.6.3.1 CD10 expression: Follicular center cell lymphomas
    3.6.3.2 Pattern of CD20 and CD11c coexpression
    3.6.3.3 CD5 expression
    3.6.3.4 Aberrant B-cell profile
    3.6.4 Identification of abnormal mature T-cells
    3.6.5 Useful antigenic features in mature T-cell malignancies
    3.7 Assessing the biological behavior of mature lymphoid neoplasms
    3.8 Dot plot patterns in histiocytic proliferations and
    nonhematopoietic malignancies

    Chapter 4 FCM data analysis on heterogeneous specimens

    4.1 Identifying normal FCM samples
    4.1.1 Benign/reactive solid lymphoid tissue (e.g., lymph nodes,
    tonsils)
    4.1.1.1 Pattern of CD10/CD20 coexpression. Distinction between FRFH
    and FCC lymphoma
    4.1.2 Normal peripheral blood and normal bone marrow
    4.1.2.1 Blast region
    4.1.2.2 Bone marrow B-cell precursors
    4.1.2.3 Lymphocytes
    4.1.2.4 Monocytes
    4.1.2.5 Plasma cells
    4.1.2.6 Erythroid precursors
    4.1.2.7 Maturing myeloid cells
    4.2 Abnormal heterogeneous samples with a detectable immature
    neoplastic population
    4.2.1 Blasts of lymphoid lineage
    4.2.2 Blasts of myeloid lineage
    4.2.2.1 AML
    4.2.2.2 High-grade MDS and MPD with increased blasts
    4.3 Minimal residual disease
    4.4 Abnormal heterogeneou