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Advance of microfluidic flow cytometry enabling high-throughput characterization of single-cell electrical and structural properties.
Huang, Xukun; Chen, Xiao; Tan, Huiwen; Wang, Minruihong; Li, Yimin; Wei, Yuanchen; Zhang, Jie; Chen, Deyong; Wang, Junbo; Li, Yueying; Chen, Jian.
Afiliação
  • Huang X; State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Chen X; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Tan H; State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Wang M; School of Future Technology, University of Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Li Y; State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Wei Y; School of Future Technology, University of Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Zhang J; State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Chen D; School of Future Technology, University of Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Wang J; State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Li Y; School of Future Technology, University of Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Chen J; State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People's Republic of China.
Cytometry A ; 105(2): 139-145, 2024 02.
Article em En | MEDLINE | ID: mdl-37814588
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Microfluídica Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Microfluídica Idioma: En Ano de publicação: 2024 Tipo de documento: Article