Deep learning-based optical field screening for robust optical diffraction tomography

In tomographic reconstruction, the image quality of the reconstructed images can be significantly degraded by defects in the measured two-dimensional (2D) raw image data. Despite the importance of screening defective 2D images for robust tomographic reconstruction, manual inspection and rule-based a...

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Detalles Bibliográficos
Autores principales: Ryu, DongHun, Jo, YoungJu, Yoo, Jihyeong, Chang, Taean, Ahn, Daewoong, Kim, Young Seo, Kim, Geon, Min, Hyun-Seok, Park, YongKeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811526/
https://www.ncbi.nlm.nih.gov/pubmed/31645595
http://dx.doi.org/10.1038/s41598-019-51363-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811526/
https://www.ncbi.nlm.nih.gov/pubmed/31645595
http://dx.doi.org/10.1038/s41598-019-51363-x

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