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Whole-slide image analysis outperforms micrograph acquisition for adipocyte size quantification

The distinction between biological processes of adipose tissue expansion is crucial to understanding metabolic derangements, but a robust method for quantifying adipocyte size has yet to be standardized. Here, we compared three methods for histological analysis in situ: one conventional approach usi...

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Autores principales: Maguire, Anne S, Woodie, Lauren N, Judd, Robert L, Martin, Douglas R, Greene, Michael W, Graff, Emily C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714435/
https://www.ncbi.nlm.nih.gov/pubmed/32954932
http://dx.doi.org/10.1080/21623945.2020.1823139
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author Maguire, Anne S
Woodie, Lauren N
Judd, Robert L
Martin, Douglas R
Greene, Michael W
Graff, Emily C
author_facet Maguire, Anne S
Woodie, Lauren N
Judd, Robert L
Martin, Douglas R
Greene, Michael W
Graff, Emily C
author_sort Maguire, Anne S
collection PubMed
description The distinction between biological processes of adipose tissue expansion is crucial to understanding metabolic derangements, but a robust method for quantifying adipocyte size has yet to be standardized. Here, we compared three methods for histological analysis in situ: one conventional approach using individual micrographs acquired by digital camera, and two with whole-slide image analysis pipelines involving proprietary (Visiopharm) and open-source software (QuPath with a novel ImageJ plugin). We found that micrograph analysis identified 10–40 times fewer adipocytes than whole-slide methods, and this small sample size resulted in high variances that could lead to statistical errors. The agreement of the micrograph method to measure adipocyte area with each of the two whole-slide methods was substantially less (R(2) of 0.6644 and 0.7125) than between the two whole-slide methods (R(2) of 0.9402). These inconsistencies were more pronounced in samples from high-fat diet fed mice. While the use of proprietary software resulted in the highest adipocyte count, the lower cost, ease of use, and minimal variances of the open-source software provided a distinct advantage for measuring the number and size of adipocytes. In conclusion, we recommend whole-slide image analysis methods to consistently measure adipocyte area and avoid unintentional errors due to small sample sizes.
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spelling pubmed-77144352020-12-08 Whole-slide image analysis outperforms micrograph acquisition for adipocyte size quantification Maguire, Anne S Woodie, Lauren N Judd, Robert L Martin, Douglas R Greene, Michael W Graff, Emily C Adipocyte Research Paper The distinction between biological processes of adipose tissue expansion is crucial to understanding metabolic derangements, but a robust method for quantifying adipocyte size has yet to be standardized. Here, we compared three methods for histological analysis in situ: one conventional approach using individual micrographs acquired by digital camera, and two with whole-slide image analysis pipelines involving proprietary (Visiopharm) and open-source software (QuPath with a novel ImageJ plugin). We found that micrograph analysis identified 10–40 times fewer adipocytes than whole-slide methods, and this small sample size resulted in high variances that could lead to statistical errors. The agreement of the micrograph method to measure adipocyte area with each of the two whole-slide methods was substantially less (R(2) of 0.6644 and 0.7125) than between the two whole-slide methods (R(2) of 0.9402). These inconsistencies were more pronounced in samples from high-fat diet fed mice. While the use of proprietary software resulted in the highest adipocyte count, the lower cost, ease of use, and minimal variances of the open-source software provided a distinct advantage for measuring the number and size of adipocytes. In conclusion, we recommend whole-slide image analysis methods to consistently measure adipocyte area and avoid unintentional errors due to small sample sizes. Taylor & Francis 2020-09-20 /pmc/articles/PMC7714435/ /pubmed/32954932 http://dx.doi.org/10.1080/21623945.2020.1823139 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Maguire, Anne S
Woodie, Lauren N
Judd, Robert L
Martin, Douglas R
Greene, Michael W
Graff, Emily C
Whole-slide image analysis outperforms micrograph acquisition for adipocyte size quantification
title Whole-slide image analysis outperforms micrograph acquisition for adipocyte size quantification
title_full Whole-slide image analysis outperforms micrograph acquisition for adipocyte size quantification
title_fullStr Whole-slide image analysis outperforms micrograph acquisition for adipocyte size quantification
title_full_unstemmed Whole-slide image analysis outperforms micrograph acquisition for adipocyte size quantification
title_short Whole-slide image analysis outperforms micrograph acquisition for adipocyte size quantification
title_sort whole-slide image analysis outperforms micrograph acquisition for adipocyte size quantification
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714435/
https://www.ncbi.nlm.nih.gov/pubmed/32954932
http://dx.doi.org/10.1080/21623945.2020.1823139
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