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Impedance flow cytometry empowered by ConvNet algorithm to differentiate bladder cancer cells based on electro-mechanical characteristics

Shuaihua Zhang Zhiwen Zheng Yongqi Chen Zhihong Zhang Ziyu Han

Nanotechnology and Precision Engineering2025，Vol.8Issue(3)：P.88-97,10.

Nanotechnology and Precision Engineering2025，Vol.8Issue(3)：P.88-97,10.DOI:10.1063/10.0034711

Impedance flow cytometry empowered by ConvNet algorithm to differentiate bladder cancer cells based on electro-mechanical characteristics

Shuaihua Zhang ¹Zhiwen Zheng ²Yongqi Chen ¹Zhihong Zhang ³Ziyu Han¹

作者信息

1. State Key Laboratory of Precision Measuring Technology and Instruments,College of Precision Instrument and Opto-Electronics Engineering,Tianjin University,Tianjin 300072,China
2. Department of Urology,Tianjin Institute of Urology,The Second Hospital of Tianjin Medical University,Tianjin 300211,China Department of Urology,The Second Affiliated Hospital of Anhui Medical University,Hefei 230032,China
3. Department of Urology,Tianjin Institute of Urology,The Second Hospital of Tianjin Medical University,Tianjin 300211,China
折叠

摘要

关键词

Impedance flow cytometry/ConvNet model/Differentiation between cells/Bladder cancer analysis

分类

医药卫生

引用本文复制引用

Shuaihua Zhang,Zhiwen Zheng,Yongqi Chen,Zhihong Zhang,Ziyu Han..Impedance flow cytometry empowered by ConvNet algorithm to differentiate bladder cancer cells based on electro-mechanical characteristics[J].Nanotechnology and Precision Engineering,2025,8(3):P.88-97,10.

基金项目

financial support from the National Natural Science Foundation of China(NSFC Grant No.22076138) （NSFC Grant No.22076138）

the National Natural Science Foundation of China(NSFC Grant No.62174119). （NSFC Grant No.62174119）

Nanotechnology and Precision Engineering

ISSN：1672-6030

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