Issue Highlights ‐ November 2017 (92:B6)

In this issue, out of 13 articles, six are dedicated to various aspects of CD4 T-cell immunophenotyping covering the later part of 35 years. Their diagnostic currency is derived from the aggressive and extensive research path pioneered by many of our colleagues while developing immunophenotyping leukocyte subsets. The four-decade struggle against AIDS forged an enduring desire to develop and maintain state of the art biomedical platforms to help humanity. The remaining seven reports are not directly related to the theme.

[1]  U. Sack.  CD64 expression by neutrophil granulocytes , 2017, Cytometry. Part B, Clinical cytometry.

[2]  D. Barnett,et al.  Validation of cell‐based fluorescence assays: Practice guidelines from the ICSH and ICCS – part IV – postanalytic considerations , 2013, Cytometry. Part B, Clinical cytometry.

[3]  M. Stetler-Stevenson,et al.  Report of the results of the International Clinical Cytometry Society and American Society for Clinical Pathology workload survey of clinical flow cytometry laboratories , 2017, Cytometry. Part B, Clinical cytometry.

[4]  V. Le Moing,et al.  Impact of T cell activation, HIV replication and hepatitis C virus infection on neutrophil CD64 expression , 2017, Cytometry. Part B, Clinical cytometry.

[5]  T. Njo,et al.  Leukoflow: Multiparameter extended white blood cell differentiation for routine analysis by flow cytometry , 2011, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[6]  B. Autran,et al.  T-cell subset counting and the fight against AIDS: reflections over a 20-year struggle. , 2002, Cytometry.

[7]  Deborah K Glencross,et al.  A North American multilaboratory study of CD4 counts using flow cytometric panleukogating (PLG): A NIAID‐DAIDS Immunology Quality Assessment Program Study , 2008, Cytometry. Part B, Clinical cytometry.

[8]  D. Glencross,et al.  A model for continuous quality control incorporating sample‐to‐sample assessment of optical alignment, fluorescence sensitivity, and volumetric operation of flow cytometers , 2010, Cytometry. Part B, Clinical cytometry.

[9]  M. Chatterjee,et al.  Ratio of neutrophilic CD64 and monocytic HLA‐DR: A novel parameter in diagnosis and prognostication of neonatal sepsis , 2016, Cytometry. Part B, Clinical cytometry.

[10]  U. Sack,et al.  Accreditation of flow cytometry in Europe , 2013, Cytometry. Part B, Clinical cytometry.

[11]  A. Gaur,et al.  Stabilization of pre‐optimized multicolor antibody cocktails for flow cytometry applications , 2017, Cytometry. Part B, Clinical cytometry.

[12]  Howard M Shapiro,et al.  Report from a workshop on multianalyte microsphere assays. , 2002, Cytometry.

[13]  Thierry Fest,et al.  Refining the white blood cell differential: The first flow cytometry routine application , 2010, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[14]  L. Lynen,et al.  CD4 results with a bias larger than hundred cells per microliter can have a significant impact on the clinical decision during treatment initiation of HIV patients , 2017, Cytometry. Part B, Clinical cytometry.

[15]  C. Bruce Bagwell,et al.  Automated analysis of flow cytometric data for measuring neutrophil CD64 expression using a multi‐instrument compatible probability state model , 2015, Cytometry. Part B, Clinical cytometry.

[16]  J. Gratama,et al.  Flow cytometry: A biomedical platform offering diagnostic diversity , 2009, Cytometry. Part B, Clinical cytometry.

[17]  G. Janossy,et al.  Stability of currently used cytometers facilitates the identification of pipetting errors and their volumetric operation: “Time” can tell all , 2003, Cytometry. Part B, Clinical cytometry.

[18]  F. Lacroix,et al.  Impact of unified procedures as implemented in the Canadian Quality Assurance Program for T lymphocyte subset enumeration. Participating Flow Cytometry Laboratories of the Canadian Clinical Trials Network for HIV/AIDS Therapies. , 1998, Cytometry.

[19]  Teri Oldaker,et al.  Validation of cell‐based fluorescence assays: Practice guidelines from the ICSH and ICCS – part I – rationale and aims , 2013, Cytometry. Part B, Clinical cytometry.

[20]  C. Slomianny,et al.  Active caspases‐8 and −3 in circulating human erythrocytes purified on immobilized annexin‐V: A cytometric demonstration , 2009, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[21]  K. Sosada,et al.  The effects of obesity on CD47 expression in erythrocytes , 2017, Cytometry. Part B, Clinical cytometry.

[22]  F. Preffer,et al.  Flow cytometry and the stability of phycoerythrin‐tandem dye conjugates , 2009, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[23]  G. Janossy,et al.  Translational medicine as implementation science in the field of monitoring HIV and TB. New concepts emanating from resource‐poor countries , 2010, Cytometry. Part B, Clinical cytometry.

[24]  F. Mandy,et al.  Three-color supplement to the NIAID DAIDS guideline for flow cytometric immunophenotyping. , 1996, Cytometry.

[25]  L. Kestens,et al.  Thirty‐five years of CD4 T‐cell counting in HIV infection: From flow cytometry in the lab to point‐of‐care testing in the field , 2017, Cytometry. Part B, Clinical cytometry.

[26]  J. Reilly,et al.  Perfect count: A novel approach for the single platform enumeration of absolute CD4+ T‐lymphocytes , 2004, Cytometry. Part B, Clinical cytometry.

[27]  D. Barnett,et al.  Current laboratory practices in flow cytometry for the enumeration of CD 4+ T‐lymphocyte subsets , 2015, Cytometry. Part B, Clinical cytometry.

[28]  F. Craig,et al.  Guidelines for the diagnosis and monitoring of paroxysmal nocturnal hemoglobinuria and related disorders by flow cytometry , 2010, Cytometry. Part B, Clinical cytometry.

[29]  B. Wood,et al.  Evaluation of an 8‐color flow cytometric reference method for white blood cell differential enumeration , 2010, Cytometry. Part B, Clinical cytometry.

[30]  O. Hammarsten,et al.  Validation of a flow cytometry‐based detection of γ‐H2AX, to measure DNA damage for clinical applications , 2017, Cytometry. Part B, Clinical cytometry.

[31]  M. Béné,et al.  A 5‐color flow cytometric method for extended 8‐part leukocyte differential , 2017, Cytometry. Part B, Clinical cytometry.

[32]  C. Malcus,et al.  Evaluation of a novel automated volumetric flow cytometer for absolute CD4+ T lymphocyte quantitation , 2017, Cytometry. Part B, Clinical cytometry.

[33]  B. Wood,et al.  Toward a reference method for leukocyte differential counts in blood: Comparison of three flow cytometric candidate methods , 2012, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[34]  H. Stassen,et al.  Image analysis of neutrophil nuclear morphology: Learning about phenotypic range and its reliable analysis from patients with pelger‐Huët‐anomaly and treated with colchicine , 2017, Cytometry. Part B, Clinical cytometry.

[35]  Jean Feuillard,et al.  “6 markers/5 colors” extended white blood cell differential by flow cytometry , 2007, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[36]  R. Gelman,et al.  Analyses of quality assessment studies using CD45 for gating lymphocytes for CD3(+)4(+)%. , 2000, Cytometry.

[37]  P. Sandstrom,et al.  Automation for clinical CD4 T‐cell enumeration, a desirable tool in the hands of skilled operators , 2017, Cytometry. Part B, Clinical cytometry.

[38]  Kovit Pattanapanyasat,et al.  Choosing a new CD4 technology: Can statistical method comparison tools influence the decision? , 2017, Cytometry. Part B, Clinical cytometry.