Quantitative Three-Dimensional Imaging Analysis of HfO<sub>2</sub> Nanoparticles in Single Cells via Deep Learning Aided X-ray Nano-Computed Tomography.

Xi, Zuoxin; Yao, Haodong; Zhang, Tingfeng; Su, Zongyi; Wang, Bing; Feng, Weiyue; Pu, Qiumei; Zhao, Lina

Quantitative Three-Dimensional Imaging Analysis of HfO₂ Nanoparticles in Single Cells via Deep Learning Aided X-ray Nano-Computed Tomography.

Xi, Zuoxin; Yao, Haodong; Zhang, Tingfeng; Su, Zongyi; Wang, Bing; Feng, Weiyue; Pu, Qiumei; Zhao, Lina.

Affiliation

Xi Z; Multi-disciplinary Research Division, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China.
Yao H; School of Information Engineering, Minzu University of China, Beijing 100081, China.
Zhang T; Multi-disciplinary Research Division, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China.
Su Z; University of Chinese Academy of Sciences, Beijing 100049, China.
Wang B; Multi-disciplinary Research Division, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China.
Feng W; University of Chinese Academy of Sciences, Beijing 100049, China.
Pu Q; Multi-disciplinary Research Division, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China.
Zhao L; Multi-disciplinary Research Division, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China.

ACS Nano ; 18(33): 22378-22389, 2024 Aug 20.

Article in En | MEDLINE | ID: mdl-39115329

Subject(s)
Key words

HfO2 nanoparticle; cancer; deep learning; nano-CT imaging; radioenhancer

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tomography, X-Ray Computed / Imaging, Three-Dimensional / Deep Learning Limits: Humans Language: En Journal: ACS Nano Year: 2024 Document type: Article Affiliation country: China Country of publication: Estados Unidos

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