Performance evaluation of the automated morphological analysis of erythrocytes by CellaVision DM96.

Imiko Maenou¹, Yoko Tabe², Hans-Inge Bengtsson³, Kiyoshi Ishii¹, Kazunori Miyake², Yuki Horiuchi², Mayumi Idei², Takashi Horii², Naotake Satoh⁴, Takashi Miida², Akimichi Ohsaka¹

¹Division of Clinical Laboratory, Juntendo University Hospital, Bunkyo-ku, Tokyo, Japan.

²Department of Clinical Laboratory Medicine, Juntendo University School of Medicine, Bunkyo-ku, Tokyo, Japan.

³CellaVision AB, Ideon Science Park, Lund, Sweden.

⁴Division of Clinical Laboratory, Juntendo Tokyo Koto Geriatric Medical Center, Koto-ku, Tokyo, Japan.

PubMed DOI

Abstract

BACKGROUND: Automated digital morphology systems are utilized for blood cell morphological examination. The aim of this study is to evaluate the accuracy and efficacy of RBC morphological anomaly screening using the CellaVision DM96 (DM96) automated image analysis system. METHODS: The automated analysis of RBC shape, size, and chromasia abnormalities was conducted on the DM96 using 478 blood samp…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.