Comparison of an automated digital cell morphology analysis system with manual counting

Author:

Jiao Juan1ORCID,Yin Xin2,Ma Jiali1,Xia Yinglong1,Xu Jianxia1,Zhao Shaozhe1,Liu Jie1

Affiliation:

1. Department of Clinical Laboratory The Seventh Medical Center Chinese PLA General Hospital Beijing China

2. Department of Public Health Shanxi Medical University Jinzhong Shanxi China

Abstract

AbstractBackgroundBionovation's CSFA800 is a new automated digital cell imaging analyzer. We evaluated the performance of the CSFA800 by comparing it with artificial peripheral blood white blood cell counting.MethodsAccording to inclusion and exclusion criteria, 131 randomly selected samples (77 abnormal samples and 54 normal samples) were compared. Correlations between automated and manual counting results were analyzed. Manual counting was carried out according to the guidelines of the Association of Clinical and Laboratory Standards.ResultsCounts of neutrophils, lymphocytes, monocytes, eosinophils, basophils, and immature granulocytes obtained from CSFA800 and artificial methods were linearly and positively correlated, with R values of 0.73, 0.65, 0.24, 0.2, 0.4, and 0.63, respectively, all p < 0.05. Therefore, correlations between CSFA800 and manual counting are acceptable. Compared with the DI‐60 Automated Digital Cell Morphology System (DI‐60; Sysmex), CSFA800 is more efficient and can analyze 20,000 cells in 1 min. However, the overall accuracy of CSFA800 is not as good as DI‐60, although its counting performance is better for basophils.ConclusionsThe performance of CSFA800 for WBC counts is acceptable, and it displayed good performance for neutrophils, lymphocytes, and immature granulocytes. Compared to DI‐60, CSFA800 is more efficient but has slightly lower overall accuracy. To some extent, CSFA800 is helpful to optimize the clinical laboratory workflow and improve the working efficiency of inspectors.

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3