Literature DB >> 19654081

[Automated cell recognition in hematology: CellaVision DM96 TM system].

C Surcouf1, D Delaune, T Samson, V Foissaud.   

Abstract

Cellular morphology has a predominant place in diagnosis of hematological malignancies in spite of flow cytometry, cytogenetic and molecular biology progresses. CellaVisionDM8/96TM is automated microscope and image analysis software which are able to characterize white and red blood cells morphology and to perform platelets counts in peripheral blood smears. Validity of results is always submitted to the cytologist agreement. We routinely analyzed 99 peripheral blood smears, included 9 therapeutic cytopenias, stained with May-Grünwald-Giemsa. DM8/96TM is highly efficient in the cellular identification with great security of identity management and timesaving (30% faster than manual microscopy). Major innovations are the complete slides recording, efficiency on cytopenias processing, education functionalities and the networking ability.

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Year:  2009        PMID: 19654081     DOI: 10.1684/abc.2009.0349

Source DB:  PubMed          Journal:  Ann Biol Clin (Paris)        ISSN: 0003-3898            Impact factor:   0.459


  3 in total

1.  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

2.  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

3.  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
  3 in total

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