{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T01:58:16Z","timestamp":1772503096914,"version":"3.50.1"},"reference-count":40,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2017,10,8]],"date-time":"2017-10-08T00:00:00Z","timestamp":1507420800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2017,10,8]],"date-time":"2017-10-08T00:00:00Z","timestamp":1507420800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"},{"start":{"date-parts":[[2017,10,8]],"date-time":"2017-10-08T00:00:00Z","timestamp":1507420800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Lab Hematology"],"published-print":{"date-parts":[[2017,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>Recent automated hematology analyzers (<jats:styled-content style=\"fixed-case\">HA<\/jats:styled-content>s) can identify and report nucleated red blood cells (<jats:styled-content style=\"fixed-case\">NRBC<\/jats:styled-content>) count as a separate population out of white blood cells (<jats:styled-content style=\"fixed-case\">WBC<\/jats:styled-content>). The aim of this study was to investigate the analytical performances of <jats:styled-content style=\"fixed-case\">NRBC<\/jats:styled-content> enumeration on five top of the range <jats:styled-content style=\"fixed-case\">HA<\/jats:styled-content>s.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We evaluated the within\u2010run and between\u2010day precision, limit of blank (LoB), limit of detection (LoD), and limit of quantitation (LoQ) of <jats:styled-content style=\"fixed-case\">XE<\/jats:styled-content>\u20102100 and <jats:styled-content style=\"fixed-case\">XN<\/jats:styled-content>\u2010module (Sysmex), <jats:styled-content style=\"fixed-case\">ADVIA<\/jats:styled-content> 2120i (Siemens), <jats:styled-content style=\"fixed-case\">BC<\/jats:styled-content>\u20106800 (Mindray), and UniCel DxH 800 (Beckman Coulter). Automated <jats:styled-content style=\"fixed-case\">NRBC<\/jats:styled-content> counts were also compared with optical microscopy (<jats:styled-content style=\"fixed-case\">OM<\/jats:styled-content>).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The limits of detection for <jats:styled-content style=\"fixed-case\">NRBC<\/jats:styled-content> of the <jats:styled-content style=\"fixed-case\">BC<\/jats:styled-content>\u20106800, <jats:styled-content style=\"fixed-case\">XN<\/jats:styled-content>\u2010module, <jats:styled-content style=\"fixed-case\">XE<\/jats:styled-content>\u20102100, UniCel DxH 800, and <jats:styled-content style=\"fixed-case\">ADVIA<\/jats:styled-content> 2120i are 0.035\u00d710<jats:sup>9<\/jats:sup>\/L, 0.019\u00d710<jats:sup>9<\/jats:sup>\/L, 0.067\u00d710<jats:sup>9<\/jats:sup>\/L, 0.038\u00d710<jats:sup>9<\/jats:sup>\/L, and 0.167\u00d710<jats:sup>9<\/jats:sup>\/L, respectively. Our data indicated excellent performance in terms of precision. The agreement with <jats:styled-content style=\"fixed-case\">OM<\/jats:styled-content> was excellent for <jats:styled-content style=\"fixed-case\">BC<\/jats:styled-content>\u20106800, <jats:styled-content style=\"fixed-case\">XN<\/jats:styled-content>\u2010module, and <jats:styled-content style=\"fixed-case\">XE<\/jats:styled-content>\u20102100 (Bias 0.023, 0.019, and 0.033\u00d710<jats:sup>9<\/jats:sup>\/L, respectively). <jats:styled-content style=\"fixed-case\">ADVIA<\/jats:styled-content> 2120i displayed a significant constant error and UniCel DxH 800 both proportional and small constant error.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Regards to <jats:styled-content style=\"fixed-case\">NRBC<\/jats:styled-content> counting, the performances shown by <jats:styled-content style=\"fixed-case\">BC<\/jats:styled-content>\u20106800, <jats:styled-content style=\"fixed-case\">XN<\/jats:styled-content>\u2010module, and <jats:styled-content style=\"fixed-case\">XE<\/jats:styled-content>\u20102100 are excellent also a low count, <jats:styled-content style=\"fixed-case\">ADVIA<\/jats:styled-content> 2120i and UniCel DxH 800 need to be improved.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ijlh.12722","type":"journal-article","created":{"date-parts":[[2017,10,9]],"date-time":"2017-10-09T04:26:40Z","timestamp":1507523200000},"page":"663-670","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers"],"prefix":"10.1111","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9339-4066","authenticated-orcid":false,"given":"G.","family":"Da Rin","sequence":"first","affiliation":[{"name":"Laboratory Medicine San Bassiano Hospital ASL 7 Pedemontana  Bassano del Grappa Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Vidali","sequence":"additional","affiliation":[{"name":"Immunohematology and Transfusion Medicine Service Hospital SS. 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