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

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 ha...

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Autores principales: Thurman, Alexander C., Davis, Jessica L., Jan, Max, McCulloch, Charles E., Buelow, Benjamin D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4338481/
https://www.ncbi.nlm.nih.gov/pubmed/25722942
http://dx.doi.org/10.4103/2153-3539.150252
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author Thurman, Alexander C.
Davis, Jessica L.
Jan, Max
McCulloch, Charles E.
Buelow, Benjamin D.
author_facet Thurman, Alexander C.
Davis, Jessica L.
Jan, Max
McCulloch, Charles E.
Buelow, Benjamin D.
author_sort Thurman, Alexander C.
collection PubMed
description 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.
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spelling pubmed-43384812015-02-26 Development and validation of an app-based cell counter for use in the clinical laboratory setting Thurman, Alexander C. Davis, Jessica L. Jan, Max McCulloch, Charles E. Buelow, Benjamin D. J Pathol Inform Technical Note 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. Medknow Publications & Media Pvt Ltd 2015-01-29 /pmc/articles/PMC4338481/ /pubmed/25722942 http://dx.doi.org/10.4103/2153-3539.150252 Text en Copyright: © 2015 Thurman AC. http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Technical Note
Thurman, Alexander C.
Davis, Jessica L.
Jan, Max
McCulloch, Charles E.
Buelow, Benjamin D.
Development and validation of an app-based cell counter for use in the clinical laboratory setting
title Development and validation of an app-based cell counter for use in the clinical laboratory setting
title_full Development and validation of an app-based cell counter for use in the clinical laboratory setting
title_fullStr Development and validation of an app-based cell counter for use in the clinical laboratory setting
title_full_unstemmed Development and validation of an app-based cell counter for use in the clinical laboratory setting
title_short Development and validation of an app-based cell counter for use in the clinical laboratory setting
title_sort development and validation of an app-based cell counter for use in the clinical laboratory setting
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4338481/
https://www.ncbi.nlm.nih.gov/pubmed/25722942
http://dx.doi.org/10.4103/2153-3539.150252
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