Literature DB >> 18177438

Can automated blood film analysis replace the manual differential? An evaluation of the CellaVision DM96 automated image analysis system.

C Briggs1, I Longair, M Slavik, K Thwaite, R Mills, V Thavaraja, A Foster, D Romanin, S J Machin.   

Abstract

Automation of differentials is desirable for economic and time-saving reasons. Over the last 20 years, automated imaging processes have started to be introduced where stained blood films are scanned by a computer-driven microscope and leucocytes classified; however, early methods were slow and had difficulty in classifying abnormal cells. More recently the CellaVision DM96 (CellaVision AB, Lund, Sweden) has been introduced with added features such as continuous loading of slides and a faster throughput than previous instruments. The accuracy of CellaVision DM96 has been evaluated by comparing results to reference manual differentials. Results from different operators using the DM96 were compared with their own manual differential and to a 400-cell reference manual differential. Precision of the instrument was compared to the manual differential. The preclassification accuracy of the DM96 was 89.2%. Precision was similar to that of the 100-cell manual differential. The DM96 was faster than the manual method, even after reclassification by a laboratory scientist of any cells wrongly categorized by the instrument. The DM96 accuracy in morphological classification of leucocytes and red blood cells; depends upon both blood pathology and experience of the laboratory scientist using the instrument. For some cell types and operators, DM96 accuracy was better than the individual's 100 cell manual differential.

Mesh:

Year:  2007        PMID: 18177438     DOI: 10.1111/j.1751-553X.2007.01002.x

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


  21 in total

1.  Spectral-spatial feature-based neural network method for acute lymphoblastic leukemia cell identification via microscopic hyperspectral imaging technology.

Authors:  Qian Wang; Jianbiao Wang; Mei Zhou; Qingli Li; Yiting Wang
Journal:  Biomed Opt Express       Date:  2017-05-19       Impact factor: 3.732

2.  Feature Analysis and Automatic Identification of Leukemic Lineage Blast Cells and Reactive Lymphoid Cells from Peripheral Blood Cell Images.

Authors:  Laura Bigorra; Anna Merino; Santiago Alférez; José Rodellar
Journal:  J Clin Lab Anal       Date:  2016-07-18       Impact factor: 2.352

Review 3.  "Blasts" in myeloid neoplasms - how do we define blasts and how do we incorporate them into diagnostic schema moving forward?

Authors:  Xueyan Chen; Jonathan R Fromm; Kikkeri N Naresh
Journal:  Leukemia       Date:  2022-01-19       Impact factor: 11.528

4.  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

5.  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

6.  Image microarrays (IMA): Digital pathology's missing tool.

Authors:  Jason Hipp; Jerome Cheng; Liron Pantanowitz; Stephen Hewitt; Yukako Yagi; James Monaco; Anant Madabhushi; Jaime Rodriguez-Canales; Jeffrey Hanson; Sinchita Roy-Chowdhuri; Armando C Filie; Michael D Feldman; John E Tomaszewski; Natalie Nc Shih; Victor Brodsky; Giuseppe Giaccone; Michael R Emmert-Buck; Ulysses J Balis
Journal:  J Pathol Inform       Date:  2011-10-29

7.  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

8.  Development and validation of an app-based cell counter for use in the clinical laboratory setting.

Authors:  Alexander C Thurman; Jessica L Davis; Max Jan; Charles E McCulloch; Benjamin D Buelow
Journal:  J Pathol Inform       Date:  2015-01-29

9.  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

10.  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
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