| First Author | Golson ML | Year | 2014 |
| Journal | Am J Physiol Endocrinol Metab | Volume | 306 |
| Issue | 12 | Pages | E1460-7 |
| PubMed ID | 24760991 | Mgi Jnum | J:214769 |
| Mgi Id | MGI:5603982 | Doi | 10.1152/ajpendo.00591.2013 |
| Citation | Golson ML, et al. (2014) Automated quantification of pancreatic beta-cell mass. Am J Physiol Endocrinol Metab 306(12):E1460-7 |
| abstractText | beta-Cell mass is a parameter commonly measured in studies of islet biology and diabetes. However, the rigorous quantification of pancreatic beta-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 beta-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 beta-cell ablation (streptozotocin-treated mice) and beta-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 beta-cell mass measurement by automating high-resolution image capture and analysis of entire pancreatic sections. |
