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1.
Turk Thorac J ; 23(2): 162-172, 2022 Mar.
Article in English | MEDLINE | ID: mdl-35404249

ABSTRACT

In this article, Early Career Task Force Group members of the Turkish Thoracic Society summarize the European Respiratory Society 2020 virtual congress. Current developments in the field of respiratory diseases were compiled with the addition of sessions specific to coronavirus disease 2019 this year. Almost all of the congress sessions were examined, and the important and striking results of the congress were highlighted. Congress sessions were attended by expert researchers, and the prominent messages of each session were highlighted in short summaries. They were then grouped under relevant titles and ranked in order of meaning and relation. It was finalized by a team of researchers.

2.
Clin Lab ; 62(12): 2449-2453, 2016 Dec 01.
Article in English | MEDLINE | ID: mdl-28164566

ABSTRACT

BACKGROUND: Manual microscopic analysis (MMA) of body fluids has been widely replaced by automated systems. The aim of this study was to assess the performances of the Sysmex XN-1000 (XN-1000) and UniCel DxH800 (DxH800) for body fluid analysis and compare their results with MMA and with each other. METHODS: Red blood cell (RBC), WBC and WBC-differential counts of 142 body fluid samples (7 cerebrospinal, 28 pleural, 107 ascitic fluids) were performed using DxH800, XN-1000, and MMA. RESULTS: The within-run and between-days CVs% were lower than 10% for both systems except MONO of DxH800. Both analyzers demonstrated good linearity and minimal carry-over. The comparison of the XN-1000 and DxH800 with manual counting and each other revealed good correlation (r > 0.90 for both). CONCLUSIONS: Automated systems introduce standardized and accurate performances to analyze biologic fluids. They are also beneficial for reducing turn-around time and laboratory costs.


Subject(s)
Body Fluids/cytology , Erythrocyte Count/instrumentation , Hematology/instrumentation , Leukocyte Count/instrumentation , Microscopy , Automation, Laboratory , Equipment Design , Humans , Predictive Value of Tests , Reproducibility of Results
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