Literature DB >> 25676379

Verification and standardization of blood cell counters for routine clinical laboratory tests.

Sue Ellen Verbrugge1, Albert Huisman2.   

Abstract

The use of automated blood cell counters (automated hematology analyzers) for diagnostic purposes is inextricably linked to clinical laboratories. However, the need for uniformity among the various methods and parameters is increasing and standardization of the automated analyzers is therefore crucial. Standardization not only involves procedures based on reference methods but it also involves validation, verification, quality assurance, and quality control, and it includes the involvement of several participants. This article discusses the expert guidelines and provides an overview of issues involved in complete blood count parameter reference methods and standardization of reporting units.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Automated blood cell counter; Clinical hematology laboratory; Hematology analyzers; Standardization; Validation; Verification

Mesh:

Year:  2014        PMID: 25676379     DOI: 10.1016/j.cll.2014.10.008

Source DB:  PubMed          Journal:  Clin Lab Med        ISSN: 0272-2712            Impact factor:   1.935


  8 in total

1.  Reliable assessment of bone marrow and bone marrow concentrates using automated hematology analyzer.

Authors:  Venkata P Mantripragada; Nicolas S Piuzzi; Jaiben George; Wesley Bova; Mitchell Ng; Cynthia Boehm; George F Muschler
Journal:  Regen Med       Date:  2019-07-19       Impact factor: 3.806

2.  A smart preparation strategy for point-of-care cellular counting of trace volumes of human blood.

Authors:  Xinyi Li; Qiong Deng; Hongping Liu; Youwang Lei; Pengwei Fan; Bin Wang; Yangfei Chen; Zachary J Smith; Yuchen Tang; Tingjuan Gao
Journal:  Anal Bioanal Chem       Date:  2019-04-11       Impact factor: 4.142

3.  Research in morphology and flow cytometry is at the heart of hematology.

Authors:  Marie C Béné; Gina Zini
Journal:  Haematologica       Date:  2017-03       Impact factor: 9.941

Review 4.  Hematological Parameters as Prognostic Biomarkers in Patients with Cardiovascular Diseases.

Authors:  José Gildo de Moura Monteiro Júnior; Dilênia de Oliveira Cipriano Torres; Dário Celestino Sobral Filho
Journal:  Curr Cardiol Rev       Date:  2019

5.  Optical Investigation of Individual Red Blood Cells for Determining Cell Count and Cellular Hemoglobin Concentration in a Microfluidic Channel.

Authors:  Ann-Kathrin Reichenwallner; Esma Vurmaz; Kristina Battis; Laura Handl; Helin Üstün; Tivadar Mach; Gabriele Hörnig; Jan Lipfert; Lukas Richter
Journal:  Micromachines (Basel)       Date:  2021-03-26       Impact factor: 2.891

6.  Evaluation of automated hematology analyzer DYMIND DH76 compared to SYSMEX XN 1000 system.

Authors:  Milena Velizarova; Teodora Yacheva; Mariana Genova; Dobrin Svinarov
Journal:  J Med Biochem       Date:  2021-09-03       Impact factor: 3.402

7.  Composition of early life leukocyte populations in preterm infants with and without late-onset sepsis.

Authors:  Julie Hibbert; Tobias Strunk; Elizabeth Nathan; Amy Prosser; Dorota Doherty; Karen Simmer; Peter Richmond; David Burgner; Andrew Currie
Journal:  PLoS One       Date:  2022-03-02       Impact factor: 3.240

8.  Potential of cell tracking velocimetry as an economical and portable hematology analyzer.

Authors:  Jenifer Gómez-Pastora; Mitchell Weigand; James Kim; Andre F Palmer; Mark Yazer; Payal C Desai; Maciej Zborowski; Jeffrey J Chalmers
Journal:  Sci Rep       Date:  2022-02-01       Impact factor: 4.996

  8 in total

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