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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2015
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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. |
format | Online Article Text |
id | pubmed-4338481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
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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