Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage
American Psychological Association 6th edition

Go, I., Fu, Y., Ma, X., & Guo, H. (2025). Automated classification of natural and synthetic pigments from SEM images using CNN-based deep learning. Npj Heritage Science, 13(1), 1-9. https://doi.org/10.1038/s40494-025-02163-2

ISO-690 (author-date, English)

GO, In Hee, FU, Yu, MA, Xi und GUO, Hong, 2025. Automated classification of natural and synthetic pigments from SEM images using CNN-based deep learning. npj Heritage Science. 26 November 2025. Vol. 13, no. 1, p. 1-9. DOI 10.1038/s40494-025-02163-2.

Modern Language Association 9th edition

Go, I., Y. Fu, X. Ma, und H. Guo. „Automated Classification of Natural and Synthetic Pigments from SEM Images Using CNN-Based Deep Learning.“. Npj Heritage Science, Bd. 13, Nr. 1, November 2025, S. 1-9, https://doi.org/10.1038/s40494-025-02163-2.

Mohr Siebeck - Recht (Deutsch - Österreich)

Go, In Hee/Fu, Yu/Ma, Xi/Guo, Hong: Automated classification of natural and synthetic pigments from SEM images using CNN-based deep learning., npj Heritage Science 2025, 1-9.

Emerald - Harvard

Go, I., Fu, Y., Ma, X. und Guo, H. (2025), „Automated classification of natural and synthetic pigments from SEM images using CNN-based deep learning.“, Npj Heritage Science, Vol. 13 No. 1, S. 1-9.

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