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Multiple-cell recognition and path planning for robotic microinjection system
Nan Z.; Xu Q.
2017-09-07
Conference Name2017 36th Chinese Control Conference (CCC)
Source PublicationChinese Control Conference, CCC
Pages6691-6696
Conference Date26-28 July 2017
Conference PlaceDalian, China
Abstract

This paper presents a cell recognition method aiming at guiding the implementation more simply and effectively for injecting multiple cells using biological cell injection systems. The cells are randomly placed in the field of view of a microscope. In particular, the method is proposed to guide the cell grasping device through computer vision to grasp multiple cells in a field of image region without the need for any preparatory work. A coarse-to-fine pattern matching method is used to identify multiple cells. The path planning is realized by two optimization approaches in terms of genetic algorithm and closest segment insertion method. The Vision Development Module of LabVIEW is used with the Integrated Development Environment for implementing this method. Experimental studies are conducted to verify the effectiveness of the proposed approach. The reported method will automate the cell injection process to a greater extent.

KeywordCell Recognition Microinjection Path Planning
DOI10.23919/ChiCC.2017.8028416
URLView the original
WOS Research AreaAutomation & Control Systems ; Computer Science ; Engineering
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000432015500141
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被引频次[WOS]:4   [WOS记录]     [WOS相关记录]
Document TypeConference paper
专题DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
AffiliationUniversidade de Macau
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Nan Z.,Xu Q.. Multiple-cell recognition and path planning for robotic microinjection system[C],2017:6691-6696.
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