| Users Online: 591
Month wise articles
Figures next to the month indicate the number of articles in that month
» Articles published in the past year
To view other articles click corresponding year from the navigation links on the left side.
Export selected to
Show all abstracts
Show selected abstracts
Export selected to
Add to my list
Accuracy of the CellaVision DM96 platform for reticulocyte counting
Etienne R. Mahe, Diane Higa, Christopher Naugler, Adnan Mansoor, Meer-Taher Shabani-Rad
J Pathol Inform
2014, 5:17 (26 May 2014)
Many hematology laboratories have adopted semi-automated digital platforms for routine use and the evidence supporting their use is increasing.
The CellaVision platforms are among the most thoroughly studied digital hematology platforms; we wished to determine the accuracy of CellaVision for reticulocyte counting.
Design, Materials and
We compared reticulocyte counts performed manually, using the Beckman Coulter LH750 automated analyzer and with the CellaVision DM96 platform. We analyzed the results for pair-wise correlation and bias, and precision.
Statistical Analyses Used:
Analyses were performed using Statistical Package for the Social Sciences software (SPSS), including Spearman's rho correlation coefficient, Friedman's two-way Analysis Of Variance (ANOVA) for comparison of distributions; bias was compared by way of mean and standard deviation.
The CellaVision reticulocyte counts correlated most strongly with those of the analyzer (often considered the benchmark test); the reticulocyte count distributions were noted not to be significantly different from each other across all three methods. The mean and standard deviation of bias were lowest in the comparison of CellaVision and LH750 counts.
Our data provide additional support for the accuracy of digital hematology applications using the CellaVision DM96 platform.
[HTML Full text]
[Mobile Full text]
[Sword Plugin for Repository]
© Journal of Pathology Informatics | Published by Wolters Kluwer -
Online since 10