title: Evaluation of the Red Blood Cell Advanced Software Application on the CellaVision DM96.
abstract: BACKGROUND
  The CellaVision Advanced Red Blood Cell (RBC) Software Application is a new software for advanced morphological analysis of RBCs on a digital microscopy system. Upon automated precharacterization into 21 categories, the software offers the possibility of reclassification of RBCs by the operator. We aimed to define the optimal cut-off to detect morphological RBC abnormalities and to evaluate the precharacterization performance of this software.
  
  
  METHODS
  Thirty-eight blood samples of healthy donors and sixty-eight samples of hospitalized patients were analyzed. Different methodologies to define a cut-off between negativity and positivity were used. Sensitivity and specificity were calculated according to these different cut-offs using the manual microscopic method as the gold standard. Imprecision was assessed by measuring analytical within-run and between-run variability and by measuring between-observer variability.
  
  
  RESULTS
  By optimizing the cut-off between negativity and positivity, sensitivities exceeded 80% for 'critical' RBC categories (target cells, tear drop cells, spherocytes, sickle cells, and parasites), while specificities exceeded 80% for the other RBC morphological categories. Results of within-run, between-run, and between-observer variabilities were all clinically acceptable.
  
  
  CONCLUSIONS
  The CellaVision Advanced RBC Software Application is an easy-to-use software that helps to detect most RBC morphological abnormalities in a sensitive and specific way without increasing work load, provided the proper cut-offs are chosen. However, evaluation of the images by an experienced observer remains necessary.
authors.affiliation: Department of Laboratory Hematology, AZ Sint-Jan, Bruges, Belgium.
authors.forename: M
authors.initials: M
authors.lastname: Criel
authors.affiliation: Department of Laboratory Hematology, AZ Sint-Jan, Bruges, Belgium.
authors.forename: M
authors.initials: M
authors.lastname: Godefroid
authors.affiliation: Department of Laboratory Hematology, AZ Sint-Jan, Bruges, Belgium.
authors.forename: B
authors.initials: B
authors.lastname: Deckers
authors.affiliation: Department of Laboratory Hematology, AZ Sint-Jan, Bruges, Belgium.
authors.forename: H
authors.initials: H
authors.lastname: Devos
authors.affiliation: Department of Laboratory Hematology, AZ Sint-Jan, Bruges, Belgium.
authors.forename: B
authors.initials: B
authors.lastname: Cauwelier
authors.affiliation: Department of Laboratory Hematology, AZ Sint-Jan, Bruges, Belgium.
authors.forename: J
authors.initials: J
authors.lastname: Emmerechts
mesh_terms: D016022:Case-Control Studies; D048430:Cell Shape; D004912:Erythrocytes / Q000469:parasitology / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008853:Microscopy / Q000379:methods*; D015588:Observer Variation; D012984:Software / Q000592:standards*
keywords: RBC; automated cell analysis; morphology