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PMID: 12777477 Published · ppublish English Comparative Study Journal Article Research Support, U.S. Gov't, P.H.S.

A quick, reliable, and automated method for fat cell sizing.

Journal of lipid research ·Vol. 44 ·No. 9 ·2003-09-00 ·Pages 1795-801

Tchoukalova YD, Harteneck DA, Karwoski RA, Tarara J, Jensen MD

Abstract

Mean diameters of fat cells from abdominal tissues from 31 volunteers were determined by three methods based on fat cell isolation after collagenase digestion and methylene blue staining. The three methods were direct microscopy (Micro), manual measurement of diameters from digital images by using the public domain NIH Image program (Scion), and automated measurement of diameters from digital images using a customized program developed by Biomedical Imaging Resource at Mayo Clinic (AdCount). There was excellent agreement between the methods' measurement of mean abdominal fat cell diameter (concordance correlation coefficient >0.84). The Scion method gave slightly but systematically lower mean abdominal fat cell diameters than did either AdCount or Micro. The AdCount approach produced results that are comparable to those from Micro. Comparison of AdCount and Micro in measuring diameters of fat cells from thigh confirmed the good comparability between the two methods independent of fat depot. AdCount is very reliable, and the quickest and most objective of the three methods in measuring fat cell diameters from various depots.

MeSH Terms
Adipocytes/cytology Biopsy Body Mass Index Cell Differentiation Cell Size Humans Oxazines Reproducibility of Results Sensitivity and Specificity Subcutaneous Tissue
Chemicals
Oxazines nile red
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Tchoukalova Yourka D
Endocrine Research Unit, Mayo Clinic, Rochester, MN 55902, USA.
Harteneck Deborah A
Karwoski R A
Tarara J
Jensen Michael D
Article Info
Journal
Journal of lipid research
Abbr.
J Lipid Res
ISSN
0022-2275
Published
2003-09-00
Epub
2003-00-01
Pages
1795-801
Language
English
Region
United States
NLM ID
0376606
Subset
IM
Grants
NIDDK NIH HHS · DK-07352 · United States
NIDDK NIH HHS · DK-45343 · United States
NCRR NIH HHS · RR-0585 · United States
Analysis Services
Analysis Services

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