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Correction: Hybrid lanthanide nanoparticles as a new class of binary contrast agents for in vivo T1/T2 dual-weighted MRI and synergistic tumor diagnosis.
Yi, Zhigao; Li, Xiaolong; Lu, Wei; Liu, Hongrong; Zeng, Songjun; Hao, Jianhua.
Afiliação
  • Yi Z; College of Physics and Information Science and Key Laboratory of Low-dimensional Quantum Structures and Quantum Control of the Ministry of Education, Hunan Normal University, Changsha 410081, Hunan, China. songjunz@hunnu.edu.cn.
  • Li X; School of Materials Science and Engineering, Key Laboratory of Low-dimensional Materials and Application Technology (Ministry of Education), Xiangtan University, Xiangtan 411105, China.
  • Lu W; College of Physics and Information Science and Key Laboratory of Low-dimensional Quantum Structures and Quantum Control of the Ministry of Education, Hunan Normal University, Changsha 410081, Hunan, China. songjunz@hunnu.edu.cn.
  • Liu H; Department of Applied Physics and Materials Research Center, The Hong Kong Polytechnic University, Hong Kong, China. jh.hao@polyu.edu.hk.
  • Zeng S; College of Physics and Information Science and Key Laboratory of Low-dimensional Quantum Structures and Quantum Control of the Ministry of Education, Hunan Normal University, Changsha 410081, Hunan, China. songjunz@hunnu.edu.cn.
  • Hao J; College of Physics and Information Science and Key Laboratory of Low-dimensional Quantum Structures and Quantum Control of the Ministry of Education, Hunan Normal University, Changsha 410081, Hunan, China. songjunz@hunnu.edu.cn.
J Mater Chem B ; 11(40): 9765, 2023 Oct 18.
Article em En | MEDLINE | ID: mdl-37814919
ABSTRACT
Correction for 'Hybrid lanthanide nanoparticles as a new class of binary contrast agents for in vivo T1/T2 dual-weighted MRI and synergistic tumor diagnosis' by Zhigao Yi et al., J. Mater. Chem. B, 2016, 4, 2715-2722, https//doi.org/10.1039/C5TB02375K.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article