Laboratory Medicine ›› 2018, Vol. 33 ›› Issue (5): 428-430.DOI: 10.3969/j.issn.1673-8640.2018.05.013

• Orginal Article • Previous Articles     Next Articles

Performance of CellaVision DM96 automated image analysis system for determining red blood cell morphological abnormalities

SHEN Huiying1, LIN Xiaoyi2, YANG Hui1, ZHENG Jianxin1   

  1. 1. Department of Clinical Laboratory,Shanghai Children's Medical Center,Shanghai Jiaotong University School of Medicine,Shanghai 200127,China
    2. Department of Clinical Laboratory,Ruijin Hospital,Shanghai Jiaotong University School of Medicine,Shanghai 200025,China
  • Received:2017-06-06 Online:2018-05-20 Published:2018-05-30

Abstract:

Objective To evaluate the performance of CellaVision DM96 automated image analysis system for determining red blood cell morphological abnormalities. Methods A total of 500 ethylenediaminetetraacetic acid-K2anticoagulated peripheral blood samples were made into blood smears and stained,and they were determined by DM96 and manual microscopy. The results of manual microscopies were as standard. The sensitivity and specificity of DM96 were evaluated. Results By manual microscopy,there were 12 kinds of red blood cell morphological abnormalities. The overall accuracy of DM96 was 94.9%. The sensitivities ranged from 23.1% to 89.7% according to different kinds of red blood cell morphological abnormalities,while the specificity and consistency were >90% for all red blood cell morphological abnormalities. Conclusions CellaVision DM96 automated image analysis system plays a role in identifying red blood cell morphological abnormalities. However,positive samples should be verified by manual microscopy.

Key words: Automated image analysis system, Red blood cell morphological abnormality, Performance evaluation

CLC Number: