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Autonomous biological cell injection based on vision and motion control
Zhang Y.; Xu Q.
2017-01-31
Conference Name15th IEEE International Conference on Machine Learning and Applications (ICMLA)
Source PublicationProceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016
Pages709-712
Conference DateDEC 18-20, 2016
Conference PlaceAnaheim, CA
Abstract

In this paper, an autonomous cell injection system based on vision and motion control is proposed for automatic batch injection of suspended biological cells. A plate for accommodating cells is specifically designed to hold and fix the suspended cells. The plate is fixed in a two-axis compliant micropositioning stage to transport cells to pre-planed positions. The cells are located using image-based visual servoing control. The injector used for biological cell micro-injection is actuated by a piezoelectric actuator, which not only provides a largerange displacement but also offers a compact size. In order to guarantee the injection accuracy, a learning-based adaptive control scheme is implemented to fulfill the cell injection task. The eggs of salmon are adopted as injecting targets for demonstration in experimental investigation. Experimental results reveal the effectiveness of the proposed approach.

DOI10.1109/ICMLA.2016.54
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000399100100117
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF ELECTROMECHANICAL ENGINEERING
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Zhang Y.,Xu Q.. Autonomous biological cell injection based on vision and motion control[C],2017:709-712.
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