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Related Experiment Video

Updated: Dec 8, 2025

Visualization of 3D White Adipose Tissue Structure Using Whole-mount Staining
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Whole-slide image analysis outperforms micrograph acquisition for adipocyte size quantification.

Anne S Maguire1,2, Lauren N Woodie3,4, Robert L Judd2

  • 1Scott-Ritchey Research Center, College of Veterinary Medicine, Auburn University , Auburn, AL, USA.

Adipocyte
|September 21, 2020
PubMed
Summary
This summary is machine-generated.

Quantifying adipocyte size is vital for metabolic health research. Whole-slide imaging analysis offers a more accurate and reliable method for measuring adipocyte size and number compared to traditional micrograph analysis.

Keywords:
Adipose tissuediabeteshyperplasiahypertrophyobesity

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Area of Science:

  • Histology
  • Adipose Tissue Biology
  • Metabolic Research

Background:

  • Accurate quantification of adipocyte size is essential for understanding adipose tissue expansion and metabolic dysfunction.
  • Current histological methods for measuring adipocyte size lack standardization, potentially leading to inaccurate results.
  • The development of robust and standardized methods is needed for reliable adipocyte size analysis.

Purpose of the Study:

  • To compare the accuracy and reliability of three histological methods for quantifying adipocyte size and number.
  • To evaluate conventional micrograph analysis against two whole-slide image analysis pipelines (proprietary and open-source).
  • To determine the most suitable method for consistent and precise adipocyte measurements in research.

Main Methods:

  • Histological analysis of adipose tissue using three distinct methods: conventional micrograph analysis, proprietary whole-slide imaging software (Visiopharm), and open-source whole-slide imaging software (QuPath with ImageJ plugin).
  • Comparison of adipocyte counts and area measurements obtained from each method.
  • Statistical analysis to assess the agreement and variance between the different methods, particularly in samples from high-fat diet-fed mice.

Main Results:

  • Whole-slide imaging methods identified significantly more adipocytes (10-40 times) compared to conventional micrograph analysis.
  • Conventional micrograph analysis exhibited high variance and lower agreement (R² of 0.6644 and 0.7125) with whole-slide methods.
  • The two whole-slide methods showed high agreement (R² of 0.9402), with open-source software offering advantages in cost, usability, and minimal variance.
  • Inconsistencies in measurements were more pronounced in samples from high-fat diet-fed mice.

Conclusions:

  • Whole-slide image analysis is superior to conventional micrograph analysis for accurately quantifying adipocyte size and number.
  • Open-source whole-slide imaging software provides a cost-effective, user-friendly, and reliable alternative for adipocyte analysis.
  • Adopting whole-slide imaging methods is recommended to ensure consistency and avoid statistical errors in adipose tissue research.