Machine learning algorithms, applied to intact islets of langerhans, demonstrate significantly enhanced insulin staining at the capillary interface of human pancreatic β cells

Louise Cottle, Ian Gilroy, Kylie Deng, Thomas Loudovaris, Helen E. Thomas, Anthony J. Gill, Jaswinder S. Samra, Melkam A. Kebede, Jinman Kim, Peter Thorn

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Pancreatic β cells secrete the hormone insulin into the bloodstream and are critical in the control of blood glucose concentrations. β cells are clustered in the micro-organs of the islets of Langerhans, which have a rich capillary network. Recent work has highlighted the intimate spatial connections between β cells and these capillaries, which lead to the targeting of insulin secretion to the region where the β cells contact the capillary basement membrane. In addition, β cells orientate with respect to the capillary contact point and many proteins are differentially distributed at the capillary interface compared with the rest of the cell. Here, we set out to develop an automated image analysis approach to identify individual β cells within intact islets and to determine if the distribution of insulin across the cells was polarised. Our results show that a U-Net machine learning algorithm correctly identified β cells and their orientation with respect to the capillaries. Using this information, we then quantified insulin distribution across the β cells to show enrichment at the capillary interface. We conclude that machine learning is a useful analytical tool to interrogate large image datasets and analyse sub-cellular organisation.

Original languageEnglish (US)
Article number363
JournalMetabolites
Volume11
Issue number6
DOIs
StatePublished - Jun 2021
Externally publishedYes

Keywords

  • Automation
  • Beta cell
  • Cell segmentation
  • Deep learning
  • Human
  • Insulin
  • Islet
  • Machine learning
  • Polarisation

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Biochemistry
  • Molecular Biology

Fingerprint

Dive into the research topics of 'Machine learning algorithms, applied to intact islets of langerhans, demonstrate significantly enhanced insulin staining at the capillary interface of human pancreatic β cells'. Together they form a unique fingerprint.

Cite this