Literature DB >> 25676369

White blood cell counts: reference methodology.

Devon S Chabot-Richards1, Tracy I George2.   

Abstract

Modern hematology laboratories use automated hematology analyzers to perform cell counts. These instruments provide accurate, precise, low-cost differential counts with fast turnaround times. Technologies commonly used include electrical impedance, radiofrequency conductivity, laser light scattering, and cytochemistry. This article reviews the principles of these methodologies and possible sources of error, provides guidance for selecting flagging criteria, and discusses novel, clinically relevant white blood cell parameters provided by new instruments, including immature granulocyte count and granularity index.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Automated hematology analyzer; Differential count; Laboratory instrumentation; Leukocyte; Methodology; White blood cell count

Mesh:

Year:  2014        PMID: 25676369     DOI: 10.1016/j.cll.2014.10.007

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


  8 in total

1.  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

2.  Comparing automated vs manual leukocyte differential counts for quantifying the 'left shift' in the blood of neonates.

Authors:  B C MacQueen; R D Christensen; B A Yoder; E Henry; V L Baer; S T Bennett; H M Yaish
Journal:  J Perinatol       Date:  2016-06-09       Impact factor: 2.521

3.  Quantifying lymphocyte vacuolization serves as a measure of CLN3 disease severity.

Authors:  Willemijn F E Kuper; Marlies Oostendorp; Brigitte T A van den Broek; Karin van Veghel; Lourens J P Nonkes; Edward E S Nieuwenhuis; Sabine A Fuchs; Tineke Veenendaal; Judith Klumperman; Albert Huisman; Stefan Nierkens; Peter M van Hasselt
Journal:  JIMD Rep       Date:  2020-06-02

Review 4.  Developments of Conventional and Microfluidic Flow Cytometry Enabling High-Throughput Characterization of Single Cells.

Authors:  Minruihong Wang; Hongyan Liang; Xiao Chen; Deyong Chen; Junbo Wang; Yuan Zhang; Jian Chen
Journal:  Biosensors (Basel)       Date:  2022-06-23

5.  A novel haemocytometric COVID-19 prognostic score developed and validated in an observational multicentre European hospital-based study.

Authors:  Joachim Linssen; Anthony Ermens; Marvin Berrevoets; Michela Seghezzi; Giulia Previtali; Simone van der Sar-van der Brugge; Henk Russcher; Annelies Verbon; Judith Gillis; Jürgen Riedl; Eva de Jongh; Jarob Saker; Marion Münster; Imke Ca Munnix; Anthonius Dofferhof; Volkher Scharnhorst; Heidi Ammerlaan; Kathleen Deiteren; Stephan Jl Bakker; Lucas Joost Van Pelt; Yvette Kluiters-de Hingh; Mathie Pg Leers; Andre J van der Ven
Journal:  Elife       Date:  2020-11-26       Impact factor: 8.140

6.  Describing Characteristics and Differences of Neutrophils in Sepsis, Trauma, and Control Patients in Routinely Measured Hematology Data.

Authors:  Huibert-Jan Joosse; Albert Huisman; Wouter van Solinge; Falco Hietbrink; Imo Hoefer; Saskia Haitjema
Journal:  Biomedicines       Date:  2022-03-09

7.  Comparative Diagnostic Performance of the Granulocyte and Neutrophil Counts.

Authors:  Nicola S Pether; Jessica L Brothwood; Cornelis van Berkel; Elaine H Dunwoodie; Robert L Blake; Christopher P Price; Richard G Jones; Karl S Baker; Geoff Hall
Journal:  Pract Lab Med       Date:  2017-10-04

Review 8.  Reviewing the value of leukocytes cell population data (CPD) in the management of sepsis.

Authors:  Eloísa Urrechaga
Journal:  Ann Transl Med       Date:  2020-08
  8 in total

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