Toward five-part differential of leukocytes based on electrical impedances of single cells and neural network.

Wang, Minruihong; Tan, Huiwen; Li, Yimin; Chen, Xiao; Chen, Deyong; Wang, Junbo; Chen, Jian

Wang, Minruihong; Tan, Huiwen; Li, Yimin; Chen, Xiao; Chen, Deyong; Wang, Junbo; Chen, Jian.

Afiliação

Wang M; State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People's Republic of China.
Tan H; 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.
Chen X; School of Future Technology, University of Chinese Academy of Sciences, Beijing, People's Republic of China.
Chen D; School of Advanced Engineers, University of Science and Technology Beijing, 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.
Chen J; School of Future Technology, University of Chinese Academy of Sciences, Beijing, People's Republic of China.

Cytometry A ; 103(5): 439-446, 2023 05.

Article em En | MEDLINE | ID: mdl-36271498

Assuntos

Leucócitos; Redes Neurais de Computação; Impedância Elétrica; Citometria de Fluxo

Palavras-chave

constriction microchannel; five-part differential of white blood cells; impedance flow cytometry; neural pattern recognition; recurrent neural network

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Leucócitos Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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