High Throughput Morphology-Based Cell Screening by Reservoir Computing

Jing, Ning, Wang, Chao (2020) High Throughput Morphology-Based Cell Screening by Reservoir Computing. In: 2020 IEEE Photonics Conference (IPC). (doi:10.1109/IPC47351.2020.9252529) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:92173)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL: https://doi.org/10.1109/IPC47351.2020.9252529

Abstract

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.

Item Type:	Conference or workshop item (Paper)
DOI/Identification number:	10.1109/IPC47351.2020.9252529
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Chao Wang
Date Deposited:	06 Dec 2021 10:37 UTC
Last Modified:	06 Dec 2021 10:37 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/92173 (The current URI for this page, for reference purposes)

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