APA (7th ed.) Citation

Mang, E. H., Barnett, A. K., Lech, S., & Taheri, M. L. (2024). Deep Learning Object Detection Video Analysis to Determine Grain Boundary Defect Sink Efficacy in Ion Irradiated Specimens. Microscopy and microanalysis: the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, 30, 1. https://doi.org/10.1093/mam/ozae044.843

Chicago Style (17th ed.) Citation

Mang, Emily H., Annie K. Barnett, Sebastian Lech, and Mitra L. Taheri. "Deep Learning Object Detection Video Analysis to Determine Grain Boundary Defect Sink Efficacy in Ion Irradiated Specimens." Microscopy and Microanalysis: The Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada 30 (2024): 1. https://doi.org/10.1093/mam/ozae044.843.

MLA (9th ed.) Citation

Mang, Emily H., et al. "Deep Learning Object Detection Video Analysis to Determine Grain Boundary Defect Sink Efficacy in Ion Irradiated Specimens." Microscopy and Microanalysis: The Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, vol. 30, 2024, p. 1, https://doi.org/10.1093/mam/ozae044.843.