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

Identifieur interne : 000E09 ( Pmc/Corpus ); précédent : 000E08; suivant : 000E10

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

Auteurs : Alexander C. Thurman ; Jessica L. Davis ; Max Jan ; Charles E. Mcculloch ; Benjamin D. Buelow

Source :

RBID : PMC:4338481

Abstract

Introduction:

For decades cellular differentials have been generated exclusively on analog tabletop cell counters. With the advent of tablet computers, digital cell counters – in the form of mobile applications (“apps”) – now represent an alternative to analog devices. However, app-based counters have not been widely adopted by clinical laboratories, perhaps owing to a presumed decrease in count accuracy related to the lack of tactile feedback inherent in a touchscreen interface. We herein provide the first systematic evidence that digital cell counters function similarly to standard tabletop units.

Methods:

We developed an app-based cell counter optimized for use in the clinical laboratory setting. Paired counts of 188 peripheral blood smears and 62 bone marrow aspirate smears were performed using our app-based counter and a standard analog device. Differences between paired data sets were analyzed using the correlation coefficient, Student's t-test for paired samples and Bland–Altman plots.

Results:

All counts showed excellent agreement across all users and touch screen devices. With the exception of peripheral blood basophils (r = 0.684), differentials generated for the measured cell categories within the paired data sets were highly correlated (all r ≥ 0.899). Results of paired t-tests did not reach statistical significance for any cell type (all P > 0.05), and Bland–Altman plots showed a narrow spread of the difference about the mean without evidence of significant outliers.

Conclusions:

Our analysis suggests that no systematic differences exist between cellular differentials obtained via app-based or tabletop counters and that agreement between these two methods is excellent.


Url:
DOI: 10.4103/2153-3539.150252
PubMed: 25722942
PubMed Central: 4338481

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