OBJECTIVE: Fat cell size is a fundamental parameter in the study of adipose tissue metabolism, because it markedly influences the cellular rates of metabolism. Previous techniques for the sizing of adipocytes are often complicated or time-consuming. The aim of this study was to develop a new, computerized method for rapid and accurate determination of adipocyte size in a cell suspension obtained by incubating human or rat adipose tissue biopsies with collagenase. RESEARCH METHODS AND PROCEDURES: The cell suspension was placed between a siliconized glass slide and a cover slip. Using the reference method [designated as (R)], the cell diameters were determined manually using a microscope with a calibrated ocular. The new method presented here [designated as (C)] was based on computerized image analysis. RESULTS: After two well-defined corrective adjustments, measurements with (R) and (C) agreed very well. The small remaining differences seemed, in fact, to depend on inconsistencies in (R). DISCUSSION: We propose that (C) constitutes a valuable tool to study fat cell size, because this method is fast and allows the assessment of a sufficient number of cells to get reliable data on size distribution. Furthermore, images of cell preparations may be stored for future reference.
OBJECTIVE: Fat cell size is a fundamental parameter in the study of adipose tissue metabolism, because it markedly influences the cellular rates of metabolism. Previous techniques for the sizing of adipocytes are often complicated or time-consuming. The aim of this study was to develop a new, computerized method for rapid and accurate determination of adipocyte size in a cell suspension obtained by incubating human or rat adipose tissue biopsies with collagenase. RESEARCH METHODS AND PROCEDURES: The cell suspension was placed between a siliconized glass slide and a cover slip. Using the reference method [designated as (R)], the cell diameters were determined manually using a microscope with a calibrated ocular. The new method presented here [designated as (C)] was based on computerized image analysis. RESULTS: After two well-defined corrective adjustments, measurements with (R) and (C) agreed very well. The small remaining differences seemed, in fact, to depend on inconsistencies in (R). DISCUSSION: We propose that (C) constitutes a valuable tool to study fat cell size, because this method is fast and allows the assessment of a sufficient number of cells to get reliable data on size distribution. Furthermore, images of cell preparations may be stored for future reference.
Authors: Kaleen M Lavin; Paul M Coen; Liliana C Baptista; Margaret B Bell; Devin Drummer; Sara A Harper; Manoel E Lixandrão; Jeremy S McAdam; Samia M O'Bryan; Sofhia Ramos; Lisa M Roberts; Rick B Vega; Bret H Goodpaster; Marcas M Bamman; Thomas W Buford Journal: Compr Physiol Date: 2022-03-09 Impact factor: 8.915
Authors: Dong-Hoon Kim; Darleen Sandoval; Jacquelyn A Reed; Emily K Matter; Emeline G Tolod; Stephen C Woods; Randy J Seeley Journal: Am J Physiol Endocrinol Metab Date: 2008-09-02 Impact factor: 4.310
Authors: Osman S Osman; Joanne L Selway; Małgorzata A Kępczyńska; Claire J Stocker; Jacqueline F O'Dowd; Michael A Cawthorne; Jonathan Rs Arch; Sabah Jassim; Kenneth Langlands Journal: Adipocyte Date: 2013-04-16 Impact factor: 4.534
Authors: Anna Benrick; Manuel Maliqueo; Sun Miao; Jesus A Villanueva; Yi Feng; Claes Ohlsson; Antoni J Duleba; Elisabet Stener-Victorin Journal: Evid Based Complement Alternat Med Date: 2013-04-08 Impact factor: 2.629