MDPI and ACS Style
Cottle, L.; Gilroy, I.; Deng, K.; Loudovaris, T.; Thomas, H.E.; Gill, A.J.; Samra, J.S.; Kebede, M.A.; Kim, J.; Thorn, P.
Machine Learning Algorithms, Applied to Intact Islets of Langerhans, Demonstrate Significantly Enhanced Insulin Staining at the Capillary Interface of Human Pancreatic β Cells. Metabolites 2021, 11, 363.
https://doi.org/10.3390/metabo11060363
AMA Style
Cottle L, Gilroy I, Deng K, Loudovaris T, Thomas HE, Gill AJ, Samra JS, Kebede MA, Kim J, Thorn P.
Machine Learning Algorithms, Applied to Intact Islets of Langerhans, Demonstrate Significantly Enhanced Insulin Staining at the Capillary Interface of Human Pancreatic β Cells. Metabolites. 2021; 11(6):363.
https://doi.org/10.3390/metabo11060363
Chicago/Turabian Style
Cottle, Louise, Ian Gilroy, Kylie Deng, Thomas Loudovaris, Helen E. Thomas, Anthony J. Gill, Jaswinder S. Samra, Melkam A. Kebede, Jinman Kim, and Peter Thorn.
2021. "Machine Learning Algorithms, Applied to Intact Islets of Langerhans, Demonstrate Significantly Enhanced Insulin Staining at the Capillary Interface of Human Pancreatic β Cells" Metabolites 11, no. 6: 363.
https://doi.org/10.3390/metabo11060363