SIA OpenIR  > 机器人学研究室
Accurate extraction of the self-rotational speed for cells in an electrokinetics force field by an image matching algorithm
Yang XL(杨谢柳); Niu, Xihui; Liu Z(刘柱); Zhao YL(赵玉良);; Zhang, Guanglie; Liang WF(梁文峰); Li WJ(李文荣)
Department机器人学研究室
Source PublicationMicromachines
ISSN2072-666X
2017
Volume8Issue:9Pages:1-17
Indexed BySCI ; EI
EI Accession number20173904205248
WOS IDWOS:000411523200024
Contribution Rank2
Funding OrganizationNational Natural Science Foundation of China (61503258, 51405481), the Natural Science Foundation of Liaoning Province (2015020129, 201602614), Scientific, the Technical Research Foundation of the Education Department of Liaoning Province (L2015438, L2015452), the Discipline Content Education Project (XKHY2-28), and the Hong Kong Research Grants Council (CityU 11215614).
KeywordCellular Behaviors Electrokinetics Field Image-tracking Self-rotation Template-matching
Abstract

We present an image-matching-based automated algorithm capable of accurately determining the self-rotational speed of cancer cells in an optically-induced electrokinetics-based microfluidic chip. To automatically track a specific cell in a video featuring more than one cell, a background subtraction technique was used. To determine the rotational speeds of cells, a reference frame was automatically selected and curve fitting was performed to improve the stability and accuracy. Results show that the algorithm was able to accurately calculate the self-rotational speeds of cells up to ∼150 rpm. In addition, the algorithm could be used to determine the motion trajectories of the cells. Potential applications for the developed algorithm include the differentiation of cell morphology and characterization of cell electrical properties.

Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectNanoscience & Nanotechnology ; Instruments & Instrumentation
WOS KeywordHOLOGRAPHIC OPTICAL TWEEZERS ; DIELECTRIC-PROPERTIES ; ACOUSTIC-WAVES ; SINGLE CELLS ; LIVING CELLS ; TUMOR-CELLS ; ELECTROROTATION ; DIELECTROPHORESIS ; MANIPULATION ; PARTICLES
WOS Research AreaScience & Technology - Other Topics ; Instruments & Instrumentation
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/21006
Collection机器人学研究室
Corresponding AuthorLiang WF(梁文峰); Li WJ(李文荣)
Affiliation1.School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang, 110168, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3.Department of Mechanical and Biomedical Engineering, City University of Hong Kong, 999077, Hong Kong
4.Institute of Advanced and Intelligent Sensing Systems, Shenzhen Academy of Robotics, Shenzhen, 518057, China
Recommended Citation
GB/T 7714
Yang XL,Niu, Xihui,Liu Z,et al. Accurate extraction of the self-rotational speed for cells in an electrokinetics force field by an image matching algorithm[J]. Micromachines,2017,8(9):1-17.
APA Yang XL.,Niu, Xihui.,Liu Z.,Zhao YL.,Zhang, Guanglie.,...&Li WJ.(2017).Accurate extraction of the self-rotational speed for cells in an electrokinetics force field by an image matching algorithm.Micromachines,8(9),1-17.
MLA Yang XL,et al."Accurate extraction of the self-rotational speed for cells in an electrokinetics force field by an image matching algorithm".Micromachines 8.9(2017):1-17.
Files in This Item: Download All
File Name/Size DocType Version Access License
Accurate extraction (7954KB)期刊论文作者接受稿开放获取ODC PDDLView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yang XL(杨谢柳)]'s Articles
[Niu, Xihui]'s Articles
[Liu Z(刘柱)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yang XL(杨谢柳)]'s Articles
[Niu, Xihui]'s Articles
[Liu Z(刘柱)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yang XL(杨谢柳)]'s Articles
[Niu, Xihui]'s Articles
[Liu Z(刘柱)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Accurate extraction of the self-rotational speed for cells in an electrokinetics force field by an image matching algorithm.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.