ArticleObesity (Silver Spring, Md.)2024
Adipose Tissue Analysis Toolkit (ATAT) for automated analysis of adipocyte size and extracellular matrix in white adipose tissue.
Article in Obesity (Silver Spring, Md.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Adipocyte-specific NR5A2 deficiency ameliorates diet-induced metabolic syndrome by suppressing adipose tissue inflammation.Scientific reports · 2026Article
- T-Cell Signaling Pathways, Including Exhaustion, Predominate in Unhealthy Visceral and Subcutaneous Adipose Tissues.Obesity (Silver Spring, Md.) · 2026Article
- Adipogenin promotes the development of lipid droplets by binding a dodecameric seipin complex.Science (New York, N.Y.) · 2025Article
- Article
- Effect of metabolic status on response to SIV infection and antiretroviral therapy in nonhuman primates.JCI insight · 2024Article
Corrections and comments
- Erratum issued
- Update of
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveThe 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
resultsATAT 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.
conclusionsATAT 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.