High Throughput Morphology-Based Cell Screening by Reservoir Computing

被引：0

作者：

Jing, Ning ^{[1
,2
]}

Wang, Chao ^{[1
]}

机构：

[1] Univ Kent, Sch Engn & Digital Arts, Canterbury, Kent, England

[2] North Univ China Taiyuan, Sch Informat & Commun Engn, Taiyuan, Peoples R China

来源：

2020 IEEE PHOTONICS CONFERENCE (IPC) | 2020年

关键词：

cell screening; morphology; reservoir computing;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new low-cost and data-efficient method for high-throughput microfluidic single-cell screening is proposed and demonstrated. Only one low-speed single-pixel photodetector is needed. Morphology-based object classification is achieved using reservoir computing. Our experiment shows that the frames involving the target cell can be recognized distinctly.

引用

页数：2

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