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AdipoGauge software for analysis of biological microscopic images
Obesity is a complex disease of global epidemic proportions. Adipose tissue expansion and chronic low-grade inflammation, locally and systemically, are hallmark features of obesity. Obesity is associated with several other chronic diseases, which are also characterized by inflammation. Determination...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7469447/ https://www.ncbi.nlm.nih.gov/pubmed/32654628 http://dx.doi.org/10.1080/21623945.2020.1787583 |
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author | Yosofvand, Mohammad Liyanage, Sanka Kalupahana, Nishan S. Scoggin, Shane Moustaid-Moussa, Naima Moussa, Hanna |
author_facet | Yosofvand, Mohammad Liyanage, Sanka Kalupahana, Nishan S. Scoggin, Shane Moustaid-Moussa, Naima Moussa, Hanna |
author_sort | Yosofvand, Mohammad |
collection | PubMed |
description | Obesity is a complex disease of global epidemic proportions. Adipose tissue expansion and chronic low-grade inflammation, locally and systemically, are hallmark features of obesity. Obesity is associated with several other chronic diseases, which are also characterized by inflammation. Determination of adipocyte size and macrophage content in adipose tissue is a critical step in assessing changes in this tissue with obesity. Here, we introduce a complete standalone software package, AdipoGauge, to analyse microscopic images derived from haematoxylin and eosin (H&E)-stained and immunofluorescently stained histology sections of adipose tissue. The software package is a user-friendly application that does not require a vast knowledge of computer science or costly commercial tools. AdipoGauge includes analysing tools that are capable of cell counting and colour separation. Furthermore, it can quantify the cell data in images both with and without clear boundaries around the cells. It can also remove objects from the image that are not intended for analysis, such as blood vessels or partial cells at edges of slide sections. The simple and state-of-the-art graphical user interface requires minimal time and learning. |
format | Online Article Text |
id | pubmed-7469447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-74694472020-09-15 AdipoGauge software for analysis of biological microscopic images Yosofvand, Mohammad Liyanage, Sanka Kalupahana, Nishan S. Scoggin, Shane Moustaid-Moussa, Naima Moussa, Hanna Adipocyte Research Article Obesity is a complex disease of global epidemic proportions. Adipose tissue expansion and chronic low-grade inflammation, locally and systemically, are hallmark features of obesity. Obesity is associated with several other chronic diseases, which are also characterized by inflammation. Determination of adipocyte size and macrophage content in adipose tissue is a critical step in assessing changes in this tissue with obesity. Here, we introduce a complete standalone software package, AdipoGauge, to analyse microscopic images derived from haematoxylin and eosin (H&E)-stained and immunofluorescently stained histology sections of adipose tissue. The software package is a user-friendly application that does not require a vast knowledge of computer science or costly commercial tools. AdipoGauge includes analysing tools that are capable of cell counting and colour separation. Furthermore, it can quantify the cell data in images both with and without clear boundaries around the cells. It can also remove objects from the image that are not intended for analysis, such as blood vessels or partial cells at edges of slide sections. The simple and state-of-the-art graphical user interface requires minimal time and learning. Taylor & Francis 2020-07-11 /pmc/articles/PMC7469447/ /pubmed/32654628 http://dx.doi.org/10.1080/21623945.2020.1787583 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 Article Yosofvand, Mohammad Liyanage, Sanka Kalupahana, Nishan S. Scoggin, Shane Moustaid-Moussa, Naima Moussa, Hanna AdipoGauge software for analysis of biological microscopic images |
title | AdipoGauge software for analysis of biological microscopic images |
title_full | AdipoGauge software for analysis of biological microscopic images |
title_fullStr | AdipoGauge software for analysis of biological microscopic images |
title_full_unstemmed | AdipoGauge software for analysis of biological microscopic images |
title_short | AdipoGauge software for analysis of biological microscopic images |
title_sort | adipogauge software for analysis of biological microscopic images |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7469447/ https://www.ncbi.nlm.nih.gov/pubmed/32654628 http://dx.doi.org/10.1080/21623945.2020.1787583 |
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