Literature DB >> 15786697

Impact of standardization on clinical cell analysis by flow cytometry.

M Keeney1, D Barnett, J W Gratama.   

Abstract

The evolution of flow cytometry from a research tool to a pivotal technology for clinical diagnostic purposes has required significant efforts to standardize methods. The great advantage of flow cytometry is that it's applications are highly amenable to standardization. Here, we review the efforts that have been made for flow cytometric applications in four major fields of clinical cell analysis: CD4+ T-cell enumeration, CD34+ hematopoietic stem and progenitor cell enumeration, screening for the HLA-B27 antigen and leukemia/lymphoma immunophenotyping. These standardization efforts have been parallelled by the establishment of external quality assessment (EQA) schemes in many countries worldwide. The goal of these EQA exercises has been primarily educa-tional, but their results will increasingly serve as a basis for laboratory accreditation. This important development requires that the EQA schemes, in particular the quality of the distributed samples and the procedures for evaluating the results, meet the highest standards.

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Year:  2004        PMID: 15786697

Source DB:  PubMed          Journal:  J Biol Regul Homeost Agents        ISSN: 0393-974X            Impact factor:   1.711


  7 in total

1.  Data quality assessment of ungated flow cytometry data in high throughput experiments.

Authors:  Nolwenn Le Meur; Anthony Rossini; Maura Gasparetto; Clay Smith; Ryan R Brinkman; Robert Gentleman
Journal:  Cytometry A       Date:  2007-06       Impact factor: 4.355

2.  Comparison of Volumetric and Bead-Based Counting of CD34 Cells by Single-Platform Flow Cytometry.

Authors:  Luisa Saraiva; Lili Wang; Martin Kammel; Andreas Kummrow; Eleanor Atkinson; Ji Youn Lee; Burhanettin Yalcinkaya; Muslum Akgöz; Jana Höckner; Andreas Ruf; Andrea Engel; Yu-Zhong Zhang; Orla O'Shea; Maria Paola Sassi; Carla Divieto; Tamara Lekishvili; Jonathan Campbell; Yingying Liu; Jing Wang; Richard Stebbings; Adolfas K Gaigalas; Peter Rigsby; Jörg Neukammer; Sandrine Vessillier
Journal:  Cytometry B Clin Cytom       Date:  2019-02-20       Impact factor: 3.058

3.  Evaluation of fixed-panel, multicolour ClearLLab 10C at an academic flow cytometry laboratory in Johannesburg, South Africa.

Authors:  Deborah K Glencross; Leanne Swart; Melanie Pretorius; Denise Lawrie
Journal:  Afr J Lab Med       Date:  2022-07-15

4.  A survey of flow cytometry data analysis methods.

Authors:  Ali Bashashati; Ryan R Brinkman
Journal:  Adv Bioinformatics       Date:  2009-12-06

5.  Circulating tumor cell analysis: technical and statistical considerations for application to the clinic.

Authors:  Alison L Allan; Michael Keeney
Journal:  J Oncol       Date:  2009-12-13       Impact factor: 4.375

6.  Detection of Chlamydia in the peripheral blood cells of normal donors using in vitro culture, immunofluorescence microscopy and flow cytometry techniques.

Authors:  Frances Cirino; Wilmore C Webley; Corrie West; Nancy L Croteau; Chester Andrzejewski; Elizabeth S Stuart
Journal:  BMC Infect Dis       Date:  2006-02-10       Impact factor: 3.090

7.  Flow Cytometric Analyses of Lymphocyte Markers in Immune Oncology: A Comprehensive Guidance for Validation Practice According to Laws and Standards.

Authors:  Claude Lambert; Gulderen Yanikkaya Demirel; Thomas Keller; Frank Preijers; Katherina Psarra; Matthias Schiemann; Mustafa Özçürümez; Ulrich Sack
Journal:  Front Immunol       Date:  2020-09-17       Impact factor: 7.561

  7 in total

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