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Flow cytometry in hematopathology : a visual approach to data analysis and interpretation 2nd ed

Flow cytometry in hematopathology : a visual approach to data analysis and interpretation 2nd ed (Loan 1 times)

Material type
단행본
Personal Author
Nguyen, Doyen T. Diamond, Lawrence W. Braylan, Raul C.
Title Statement
Flow cytometry in hematopathology : a visual approach to data analysis and interpretation / Doyen Nguyen, Lawrence W. Diamond, Raul C. Braylan.
판사항
2nd ed.
Publication, Distribution, etc
Totowa, N.J. :   Humana Press,   c2007.  
Physical Medium
xix, 344 p., 18 p. col. of plates : ill. (some col.) ; 29 cm.+ 1 CD-ROM (4 3/4 in.).
ISBN
9781588298553 (alk. paper) 1588298558 (alk. paper) 9781597451628 (eISBN)
General Note
Accompanying CD-ROM contains 100 case studies illustrating a wide variety of hematologic disorders.  
Bibliography, Etc. Note
Includes bibliographical references (p. [335]-340) and index.
Subject Added Entry-Topical Term
Flow Cytometry -- methods. Hematopoietic Stem Cells -- pathology. Diagnosis, Differential. Immunophenotyping -- methods.
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010 ▼a 2007922048
020 ▼a 9781588298553 (alk. paper)
020 ▼a 1588298558 (alk. paper)
020 ▼a 9781597451628 (eISBN)
035 ▼a (KERIS)BIB000011343484
040 ▼a BTCTA ▼c BTCTA ▼d BAKER ▼d YDXCP ▼d LTL ▼d 221016 ▼d 211009
042 ▼a nlmcopyc
050 4 ▼a RB45 ▼b .N49 2007
060 0 0 ▼a 2007 L-097
060 1 0 ▼a QY 95 ▼b N5759f 2007
082 0 0 ▼a 616.4/1075 ▼2 22
084 ▼a 616.41075 ▼2 DDCK
090 ▼a 616.41075 ▼b N576f2
100 1 ▼a Nguyen, Doyen T.
245 1 0 ▼a Flow cytometry in hematopathology : ▼b a visual approach to data analysis and interpretation / ▼c Doyen Nguyen, Lawrence W. Diamond, Raul C. Braylan.
250 ▼a 2nd ed.
260 ▼a Totowa, N.J. : ▼b Humana Press, ▼c c2007.
300 ▼a xix, 344 p., 18 p. col. of plates : ▼b ill. (some col.) ; ▼c 29 cm.+ ▼e 1 CD-ROM (4 3/4 in.).
500 ▼a Accompanying CD-ROM contains 100 case studies illustrating a wide variety of hematologic disorders.
504 ▼a Includes bibliographical references (p. [335]-340) and index.
538 ▼a System requirements for accompanying CD-ROM: PC or compatible, Microsoft Windows 98 or newer.
650 1 2 ▼a Flow Cytometry ▼x methods.
650 1 2 ▼a Hematopoietic Stem Cells ▼x pathology.
650 2 2 ▼a Diagnosis, Differential.
650 2 2 ▼a Immunophenotyping ▼x methods.
700 1 ▼a Diamond, Lawrence W.
700 1 ▼a Braylan, Raul C.

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Medical Library/Monographs(3F)/ Call Number 616.41075 N576f2 Accession No. 131038912 Availability Available Due Date Make a Reservation Service B
No. 2 Location Medical Library/Closed Stacks3/ Call Number 616.41075 N576f2 Accession No. 141077722 Availability Available Due Date Make a Reservation Service B

Contents information

Table of Contents

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


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