H Ceelie1, R B Dinkelaar, W van Gelder. 1. Department of Clinical Chemistry, Albert Schweitzer Ziekenhuis, Dordrecht, The Netherlands. h.ceelie@asz.nl
Abstract
BACKGROUND: Differential counting of peripheral blood cells is an important diagnostic tool. Yet, this technique requires highly trained staff, is labour intensive and has limited statistical reliability. A recent development in this field was the introduction of automated peripheral blood differential counting systems. These computerised systems provide an automated morphological analysis of peripheral blood films, including a preclassification of both red and white cells (RBCs and WBCs, respectively). AIMS: To investigate the ability of two automated microscopy systems to examine peripheral blood smears. METHODS: Two automated microscopy systems, the Cellavision Diffmaster Octavia (Octavia) and Cellavision DM96 (DM96), were evaluated. RESULTS: The overall preclassification accuracy values for the Octavia and the DM96 systems were 87% and 92%, respectively. Evaluation of accuracy (WBC analysis) showed good correlation for both automated systems when compared with manual differentiation. Total analysis time (including post classification) was 5.4 min/slide for the Octavia and 3.2 min/slide for the DM96 (100 WBC/slide) system. The DM96 required even less time than manual differentiation by an experienced biomedical scientist. CONCLUSIONS: The Octavia and the DM96 are automated cell analysis systems capable of morphological classification of RBCs and WBCs in peripheral blood smears. Classification accuracy depends on the type of pathological changes in the blood sample. Both systems operate most effectively in the analysis of non-pathological blood samples.
BACKGROUND: Differential counting of peripheral blood cells is an important diagnostic tool. Yet, this technique requires highly trained staff, is labour intensive and has limited statistical reliability. A recent development in this field was the introduction of automated peripheral blood differential counting systems. These computerised systems provide an automated morphological analysis of peripheral blood films, including a preclassification of both red and white cells (RBCs and WBCs, respectively). AIMS: To investigate the ability of two automated microscopy systems to examine peripheral blood smears. METHODS: Two automated microscopy systems, the Cellavision Diffmaster Octavia (Octavia) and Cellavision DM96 (DM96), were evaluated. RESULTS: The overall preclassification accuracy values for the Octavia and the DM96 systems were 87% and 92%, respectively. Evaluation of accuracy (WBC analysis) showed good correlation for both automated systems when compared with manual differentiation. Total analysis time (including post classification) was 5.4 min/slide for the Octavia and 3.2 min/slide for the DM96 (100 WBC/slide) system. The DM96 required even less time than manual differentiation by an experienced biomedical scientist. CONCLUSIONS: The Octavia and the DM96 are automated cell analysis systems capable of morphological classification of RBCs and WBCs in peripheral blood smears. Classification accuracy depends on the type of pathological changes in the blood sample. Both systems operate most effectively in the analysis of non-pathological blood samples.
Authors: Alexander Kratz; Hans-Inge Bengtsson; Jeanne E Casey; Joan M Keefe; Gail H Beatrice; Debera Y Grzybek; Kent B Lewandrowski; Elizabeth M Van Cott Journal: Am J Clin Pathol Date: 2005-11 Impact factor: 2.493
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