High-throughput measurement of adipocyte size with open-source software using whole-slide adipose tissue images.

Abstract

The aim of this study was to create and validate a high-throughput method based on open-source software for the measurement of adipocyte diameters in white adipose tissue histological sections. Human omental and subcutaneous adipose tissue samples collected during bariatric surgery were used to prepare haematoxylin and eosin-stained histological slides. Adipocyte diameters were measured both manually and with an automated procedure created using ImageJ. Comparative analysis of our automated method with the manual measurement and associations of the mean adipocyte diameters with cardiometabolic markers were used to validate our method. A total of 377 adipose samples (190 participants) were included in the analysis. Pearson correlation of mean adipocyte diameters showed a strong linear relationship between methods (r = 0.87, p < 0.0001). Omental adipocyte diameters of both methods were significantly associated with the same markers of cardiometabolic risk (fasting concentrations of TG, HDL-Chol, homoeostasis model assessment of insulin resistance, and visceral adiposity index values) with no significant differences between methods. There were also no significant differences between the manual and automated method regarding the correlations between mean subcutaneous adipocyte diameters and anthropometric or metabolic markers. In conclusion, we have created and validated a rapid automated method to measure adipocyte diameters from whole-slide adipose tissue images.