American Psychological Association 6th edition

Salem, D., Li, Y., Xi, P., Phenix, H., Cuperlovic-Culf, M., Kærn, M., & Polańska, J. (2021). Yeast Net: Deep-Learning-Enabled Accurate Segmentation of Budding Yeast Cells in Bright-Field Microscopy. Applied Sciences (2076-3417), 11(6), 2692-2707. https://doi.org/10.3390/app11062692

ISO-690 (author-date, English)

SALEM, Danny, LI, Yifeng, XI, Pengcheng, PHENIX, Hilary, CUPERLOVIC-CULF, Miroslava, KÆRN, Mads und POLAŃSKA, Joanna, 2021. Yeast Net: Deep-Learning-Enabled Accurate Segmentation of Budding Yeast Cells in Bright-Field Microscopy. Applied Sciences (2076-3417). 15 März 2021. Vol. 11, no. 6, p. 2692-2707. DOI 10.3390/app11062692.

Modern Language Association 9th edition

Salem, D., Y. Li, P. Xi, H. Phenix, M. Cuperlovic-Culf, M. Kærn, und J. Polańska. „Yeast Net: Deep-Learning-Enabled Accurate Segmentation of Budding Yeast Cells in Bright-Field Microscopy.“. Applied Sciences (2076-3417), Bd. 11, Nr. 6, März 2021, S. 2692-07, https://doi.org/10.3390/app11062692.

Mohr Siebeck - Recht (Deutsch - Österreich)

Salem, Danny/Li, Yifeng/Xi, Pengcheng/Phenix, Hilary/Cuperlovic-Culf, Miroslava/Kærn, Mads u. a.: Yeast Net: Deep-Learning-Enabled Accurate Segmentation of Budding Yeast Cells in Bright-Field Microscopy., Applied Sciences (2076-3417) 2021, 2692-2707.

Emerald - Harvard

Salem, D., Li, Y., Xi, P., Phenix, H., Cuperlovic-Culf, M., Kærn, M. und Polańska, J. (2021), „Yeast Net: Deep-Learning-Enabled Accurate Segmentation of Budding Yeast Cells in Bright-Field Microscopy.“, Applied Sciences (2076-3417), Vol. 11 No. 6, S. 2692-2707.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.