DefectTrack: a deep learning-based multi-object tracking algorithm for quantitative defect analysis of in-situ TEM videos in real-time

In-situ irradiation transmission electron microscopy (TEM) offers unique insights into the millisecond-timescale post-cascade process, such as the lifetime and thermal stability of defect clusters, vital to the mechanistic understanding of irradiation damage in nuclear materials. Converting in-situ...

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Detalles Bibliográficos
Autores principales: Sainju, Rajat, Chen, Wei-Ying, Schaefer, Samuel, Yang, Qian, Ding, Caiwen, Li, Meimei, Zhu, Yuanyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489724/
https://www.ncbi.nlm.nih.gov/pubmed/36127375
http://dx.doi.org/10.1038/s41598-022-19697-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489724/
https://www.ncbi.nlm.nih.gov/pubmed/36127375
http://dx.doi.org/10.1038/s41598-022-19697-1

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