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Related Experiment Video

Updated: Oct 5, 2025

Visualization of 3D White Adipose Tissue Structure Using Whole-mount Staining
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A Straightforward Method for Adipocyte Size and Count Analysis Using Open-source Software QuPath.

Ville A Palomäki1, Vesa Koivukangas1, Sanna Meriläinen1

  • 1Department of Surgery, Oulu University Hospital and University of Oulu, Oulu, Finland.

Adipocyte
|January 31, 2022
PubMed
Summary
This summary is machine-generated.

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Quantifying fat cell size in obesity research is crucial. A new, straightforward QuPath method accurately measures adipose tissue morphology, correlating well with existing tools for whole-slide analysis.

Area of Science:

  • Adipose tissue biology
  • Histomorphometry
  • Obesity research

Background:

  • Adipose tissue morphology changes, like enlarged fat cells, are hallmarks of overweight and obesity.
  • Fat cell size is linked to low-grade inflammation and metabolic syndrome, including type 2 diabetes.
  • Manual quantification of fat cell morphology from histological images is time-consuming.

Purpose of the Study:

  • To present a simple, efficient method for quantifying human adipose tissue morphology.
  • To validate the accuracy of the proposed method against established image analysis techniques.

Main Methods:

  • Utilized the free, open-source software QuPath exclusively.
  • Employed QuPath's built-in tools for automated measurement of fat cell morphology.
Keywords:
Adipocyte ToolsAdipocyte sizeImageJQupathfat cell sizeobesity

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  • Applied the protocol to human adipose tissue samples for analysis.
  • Main Results:

    • The QuPath method demonstrated excellent correlation with measurements from ImageJ software combined with manual correction.
    • Intraclass correlation coefficients indicated a good to excellent agreement between the two quantification methods.
    • The protocol is suitable for analyzing large tissue areas, including whole-slide imaging.

    Conclusions:

    • A straightforward QuPath-based protocol provides accurate and efficient quantification of adipose tissue morphology.
    • This method offers a reliable alternative for researchers studying obesity and related metabolic diseases.
    • The approach facilitates large-scale analysis of adipocyte size and its clinical implications.