Literature DB >> 29466232

Analytical performance of an automated volumetric flow cytometer for quantitation of T, B and natural killer lymphocytes.

Simon Degandt1, Bart Peeters1, Stijn Jughmans1, Nancy Boeckx1, Xavier Bossuyt1.   

Abstract

BACKGROUND: Quantitation of lymphocyte subsets (B cells, T cells, CD4 and CD8 T cells and NK cells) classically relies on quantitation of lymphocytes and immunophenotyping by flow cytometry. AQUIOS CL (Beckman Coulter) is a fully automated system that performs an onboard volumetric cell count, automatically processes the sample (staining, lysing and fixation) and analyzes the results. We compared AQUIOS CL to a dual-platform analysis and evaluated analytical performance.
METHODS: We evaluated precision, sample stability, inter-sample carryover, linearity and interpanel consistency. AQUIOS CL was compared to a dual-platform method (Sysmex XE-5000 and BD FACSCanto-II). A total of 113 patient samples were included: 45 from posttransplant patients, 44 from children and 24 random routine samples. The degree of automation was scored through the need of manual revisions triggered by AQUIOS CL run notifications and run flags.
RESULTS: Intrarun and interrun variability was <9.1% with dedicated control material and <32.1% with patient samples. Relative values of lymphocyte subsets could be determined up to 48 h after venipuncture when the sample was kept at room temperature. There was no carryover and good linearity. Interpanel consistency was 3.3% for relative values and 9.4% for absolute values. Method comparison showed good analytical correlation between AQUIOS CL and a dual-platform method. Thirty-five percent of the samples triggered a run notification. In 74% of these samples, the results could be accepted without intervention, so in 26% of all samples, an unnecessary notification was generated.
CONCLUSIONS: AQUIOS CL allows for reliable fully automated immunophenotyping of lymphocyte subset quantitation. Gating algorithms could be further improved.

Entities:  

Keywords:  AQUIOS; flow cytometry; lymphocyte subsets

Mesh:

Year:  2018        PMID: 29466232     DOI: 10.1515/cclm-2017-0638

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  3 in total

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Authors:  Lillian Hesselink; Roy Spijkerman; Karlijn J P van Wessem; Leo Koenderman; Luke P H Leenen; Markus Huber-Lang; Falco Hietbrink
Journal:  World J Emerg Surg       Date:  2019-05-29       Impact factor: 5.469

2.  Microparticle-tagged image-based cell counting (ImmunoSpin) for CD4 + T cells.

Authors:  Sang-Hyun Hwang; John Jeongseok Yang; Yoon-Hee Oh; Dae-Hyun Ko; Heungsup Sung; Young-Uk Cho; Seongsoo Jang; Chan-Jeoung Park; Heung-Bum Oh
Journal:  Mikrochim Acta       Date:  2021-11-25       Impact factor: 5.833

3.  Phase I study in healthy participants to evaluate safety, tolerability, and pharmacokinetics of inhaled nezulcitinib, a potential treatment for COVID-19.

Authors:  Nathan D Pfeifer; Arthur Lo; David L Bourdet; Kenneth Colley; Dave Singh
Journal:  Clin Transl Sci       Date:  2021-08-31       Impact factor: 4.438

  3 in total

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