Adipose Tissue Analysis Toolkit (ATAT) for automated analysis of adipocyte size and extracellular matrix in white adipose tissue
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2024
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| author | Jacob J. Robino Alexander P. Plekhanov Qingzhang Zhu Michael D. Jensen Philipp E. Scherer Charles T. Roberts Oleg Varlamov |
| author_facet | Jacob J. Robino Alexander P. Plekhanov Qingzhang Zhu Michael D. Jensen Philipp E. Scherer Charles T. Roberts Oleg Varlamov Jacob J. Robino Alexander P. Plekhanov Qingzhang Zhu Michael D. Jensen Philipp E. Scherer Charles T. Roberts Oleg Varlamov |
| collection | Wiley Open Access |
| contents | Adipose Tissue Analysis Toolkit (ATAT) for automated analysis of adipocyte size and extracellular matrix in white adipose tissue Jacob J. Robino Alexander P. Plekhanov Qingzhang Zhu Michael D. Jensen Philipp E. Scherer Charles T. Roberts Oleg Varlamov Obesity Abstract Objective The pathological expansion of white adipose tissue (WAT) in obesity involves adipocyte hypertrophy accompanied by expansion of the collagen‐rich pericellular extracellular matrix (ECM) and development of crown‐like structures (CLS). Traditionally, WAT morphology is assessed through immunohistochemical analysis of WAT sections. However, manual analysis of large histological sections is time‐consuming, and the available digital tools for analyzing adipocyte size and pericellular ECM are limited. To address this gap, the authors developed the Adipose Tissue Analysis Toolkit (ATAT), an ImageJ plugin facilitating analysis of adipocyte size, WAT ECM, and CLS. Methods and Results ATAT utilizes local and image‐level differentials in pixel intensity to independently threshold image background, distinguishing adipocyte‐free tissue without user input. It accurately captures adipocytes in histological sections stained with common dyes and automates the analysis of adipocyte cross‐sectional area, total‐field, and localized region‐of‐interest ECM. ATAT allows fully automated batch analysis of histological images using default or user‐defined adipocyte detection parameters. Conclusions ATAT provides several advantages over existing WAT image analysis tools, enabling high‐throughput analyses of adipocyte‐specific parameters and facilitating the assessment of ECM changes associated with WAT remodeling due to weight changes and other pathophysiological alterations that affect WAT function. 10.1002/oby.23992 http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| doi_str_mv | 10.1002/oby.23992 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_oby_23992 |
| institution | Wiley Open Access |
| license_str_mv | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| publishDate | 2024 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Adipose Tissue Analysis Toolkit (ATAT) for automated analysis of adipocyte size and extracellular matrix in white adipose tissue Jacob J. Robino Alexander P. Plekhanov Qingzhang Zhu Michael D. Jensen Philipp E. Scherer Charles T. Roberts Oleg Varlamov Obesity Adipose Tissue Analysis Toolkit (ATAT) for automated analysis of adipocyte size and extracellular matrix in white adipose tissue Jacob J. Robino Alexander P. Plekhanov Qingzhang Zhu Michael D. Jensen Philipp E. Scherer Charles T. Roberts Oleg Varlamov Obesity Abstract Objective The pathological expansion of white adipose tissue (WAT) in obesity involves adipocyte hypertrophy accompanied by expansion of the collagen‐rich pericellular extracellular matrix (ECM) and development of crown‐like structures (CLS). Traditionally, WAT morphology is assessed through immunohistochemical analysis of WAT sections. However, manual analysis of large histological sections is time‐consuming, and the available digital tools for analyzing adipocyte size and pericellular ECM are limited. To address this gap, the authors developed the Adipose Tissue Analysis Toolkit (ATAT), an ImageJ plugin facilitating analysis of adipocyte size, WAT ECM, and CLS. Methods and Results ATAT utilizes local and image‐level differentials in pixel intensity to independently threshold image background, distinguishing adipocyte‐free tissue without user input. It accurately captures adipocytes in histological sections stained with common dyes and automates the analysis of adipocyte cross‐sectional area, total‐field, and localized region‐of‐interest ECM. ATAT allows fully automated batch analysis of histological images using default or user‐defined adipocyte detection parameters. Conclusions ATAT provides several advantages over existing WAT image analysis tools, enabling high‐throughput analyses of adipocyte‐specific parameters and facilitating the assessment of ECM changes associated with WAT remodeling due to weight changes and other pathophysiological alterations that affect WAT function. 10.1002/oby.23992 http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| title | Adipose Tissue Analysis Toolkit (ATAT) for automated analysis of adipocyte size and extracellular matrix in white adipose tissue |
| topic | Obesity |
| url | https://onlinelibrary.wiley.com/doi/10.1002/oby.23992 |