Automated Quantification of Pancreatic β-cell Mass

Overview

Journal Am J Physiol Endocrinol Metab

Publisher American Physiological Society

Specialties Endocrinology
Physiology

Date 2014 Apr 25

PMID 24760991

Citations 17

Authors

Maria L Golson

William S Bush

Marcela Brissova

Affiliations

Soon will be listed here.

Abstract

β-Cell mass is a parameter commonly measured in studies of islet biology and diabetes. However, the rigorous quantification of pancreatic β-cell mass using conventional histological methods is a time-consuming process. Rapidly evolving virtual slide technology with high-resolution slide scanners and newly developed image analysis tools has the potential to transform β-cell mass measurement. To test the effectiveness and accuracy of this new approach, we assessed pancreata from normal C57Bl/6J mice and from mouse models of β-cell ablation (streptozotocin-treated mice) and β-cell hyperplasia (leptin-deficient mice), using a standardized systematic sampling of pancreatic specimens. Our data indicate that automated analysis of virtual pancreatic slides is highly reliable and yields results consistent with those obtained by conventional morphometric analysis. This new methodology will allow investigators to dramatically reduce the time required for β-cell mass measurement by automating high-resolution image capture and analysis of entire pancreatic sections.

Citing Articles

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