A small-dataset-trained deep learning framework for identifying atoms on transmission electron microscopy images

To accurately identify atoms on noisy transmission electron microscope images, a deep learning (DL) approach is employed to estimate the map of probabilities at each pixel for being an atom with element discernment. Thanks to a delicately-designed loss function and the ability to extract features, t...

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Detalles Bibliográficos
Autores principales: Chen, Yuan, Liu, Shangpeng, Tong, Peiran, Huang, Ying, Tian, He, Lin, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929221/
https://www.ncbi.nlm.nih.gov/pubmed/36788257
http://dx.doi.org/10.1038/s41598-023-29606-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929221/
https://www.ncbi.nlm.nih.gov/pubmed/36788257
http://dx.doi.org/10.1038/s41598-023-29606-9

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