Evidence map›Paper›PMID 40696611›Full record

ArticleMedicine2025

Evaluation of MC-80 automatic blood cell morphology analyzer in identifying the morphology of blood cells in patients with hematological diseases and normal samples.

Jing-Jing Chen, Hui-Hui Zhou, Fei Sun, ZhaoFei Wang, Ling Ding, Fangfang Yang, WanRong Shi

Abstract readEvaluation Study
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Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Jing-Jing ChenDepartment of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.
Hui-Hui ZhouDepartment of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.
Fei SunDepartment of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.
ZhaoFei WangDepartment of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.
Ling DingDepartment of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.
Fangfang YangDepartment of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.
WanRong ShiHealth Examination Center, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study evaluates the performance of the MC-80 automatic blood cell morphology analyzer in identifying the morphology of blood cells in patients with hematological diseases and normal samples.

methodsA total of 320 patients with hematological diseases and 200 healthy persons with health examination from the health examination center between January 2023 and May 2024 were selected as research subjects, and 520 venous blood samples were collected in this study. The morphology of white blood cells, nucleated red blood cells, platelets, and mature red blood cells was all detected by the MC-80 automatic blood cell morphology analyzer and compared with the manual microscopic examination. The ability of the MC-80 automatic blood cell morphology analyzer in identifying the morphology of blood cells in patients with hematological diseases and normal samples was evaluated.

resultsMC-80 demonstrated high precision, sensitivity, specificity, negative predictive value, and positive predictive value indiscriminating different forms of blood cells. There was no significant difference in the accuracy of platelet clumps and segmented neutrophils preclassified by MC-80 compared with manual verification. The accuracy of all the cells was >90% after verification. Turnaround time showed no significant difference in total turnaround time between MC-80 analysis and manual counting.

conclusionThe MC-80 automatic blood cell morphology analyzer is a reliable and powerful blood cell morphology analyzer in analyzing the morphology of most blood cells in patients with hematological diseases and normal samples.

Indexed as

Blood CellsHematologic DiseasesAdultAgedBlood Cell CountCase-Control StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsSensitivity and Specificityblood cell morphology analyzerhematological diseaseslaboratory automationmanual microscopic examination

Identifiers

PMID40696611
PMCPMC12282804

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