Literature DB >> 20132350

Evaluation of the CellaVision DM automated microscope in pediatrics.

M Billard1, E Lainey, P Armoogum, C Alberti, O Fenneteau, L Da Costa.   

Abstract

The DM is an automated microscope, which performs WBC differential counts and monitors red cell morphology. The user either validates the cell recognition if the DM has correctly identified the WBCs or reclassifies the WBCs in the good category in case of a DM mis-assignment. Morphological anomalies of leukocytes, red blood cells or platelets are analyzed and registered. We studied 521 newborns and infants sorted by age and pathology. The results correlated well with those using conventional microscopy except for samples containing blasts, in which the percentage of malignant cells was underestimated. Newborns had the lowest rates of overall accuracy and postclassification agreement. For red cell analysis, 10% of the selected areas were considered unreadable. However, the DM diagnosed faithfully all studied red cell pathologies. The DM was also very useful in analyzing samples of storage diseases. Timesavings ranging from 1 up to 10 min (for vacuolated lymphocyte screening) were observed when performing analysis with the DM. The DM represents a useful diagnostic and training tool. However, conventional microscopy remains essential, in particular when the image quality is poor, such as in the case of lymphoblasts, and in the screening of platelet clusters.

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Year:  2010        PMID: 20132350     DOI: 10.1111/j.1751-553X.2009.01219.x

Source DB:  PubMed          Journal:  Int J Lab Hematol        ISSN: 1751-5521            Impact factor:   2.877


  7 in total

1.  Experience with CellaVision DM96 for peripheral blood differentials in a large multi-center academic hospital system.

Authors:  Marian A Rollins-Raval; Jay S Raval; Lydia Contis
Journal:  J Pathol Inform       Date:  2012-08-25

2.  Platelet count estimation using the CellaVision DM96 system.

Authors:  Yuon Gao; Adnan Mansoor; Brenda Wood; Heather Nelson; Diane Higa; Christopher Naugler
Journal:  J Pathol Inform       Date:  2013-06-29

3.  Performance of CellaVision DM96 in leukocyte classification.

Authors:  Lik Hang Lee; Adnan Mansoor; Brenda Wood; Heather Nelson; Diane Higa; Christopher Naugler
Journal:  J Pathol Inform       Date:  2013-06-29

4.  Evaluation of Scopio Labs X100 Full Field PBS: The first high-resolution full field viewing of peripheral blood specimens combined with artificial intelligence-based morphological analysis.

Authors:  Ben-Zion Katz; Michael D Feldman; Minychel Tessema; Dan Benisty; Grace Stewart Toles; Alicia Andre; Bronka Shtreker; Fatima Maria Paz; Joshua Edwards; Darrin Jengehino; Adam Bagg; Irit Avivi; Olga Pozdnyakova
Journal:  Int J Lab Hematol       Date:  2021-09-21       Impact factor: 3.450

5.  Validation of the Sysmex sp-1000i automated slide preparer-stainer in a clinical laboratory.

Authors:  Eberson Damião Dos Santos de Bitencourt; Carlos Franco Voegeli; Gabriela Dos Santos Onzi; Sara Cardoso Boscato; Carine Ghem; Terezinha Munhoz
Journal:  Rev Bras Hematol Hemoter       Date:  2013

6.  Accuracy of the CellaVision DM96 platform for reticulocyte counting.

Authors:  Etienne R Mahe; Diane Higa; Christopher Naugler; Adnan Mansoor; Meer-Taher Shabani-Rad
Journal:  J Pathol Inform       Date:  2014-05-26

7.  Performance of the CellaVision(®) DM96 system for detecting red blood cell morphologic abnormalities.

Authors:  Christopher L Horn; Adnan Mansoor; Brenda Wood; Heather Nelson; Diane Higa; Lik Hang Lee; Christopher Naugler
Journal:  J Pathol Inform       Date:  2015-02-24
  7 in total

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