Micro vision based cell motility analyzing algorithm by optically-induced dielectrophoresis

Guanglie Zhang; Long-Ho Chau; Mengxing Ouyang; Wen J. Li

doi:10.1109/ROBIO.2012.6491225

Micro vision based cell motility analyzing algorithm by optically-induced dielectrophoresis

Guanglie Zhang, Long-Ho Chau, Mengxing Ouyang, Wen J. Li

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

To analyze the observed cell motility in an optically induced dielectrophoretic force, this paper describes an optical flow based automatic cell motion tracking algorithm. The optical flow measurement in the microscopic video sequences is used to estimate the 3D motion in the dielectrophoresis force fields, including rotation and translational motion. The rotation speed of the cells can be estimated automatically by analyzing each frame of a video sequences. When compare to the more tedious manual estimation process, it has been demonstrated to accurately calculate the ODEP-induced rotation rate of the cell at various applied voltages, frequencies, and waveforms. This micro vision based analyzing algorithms used for the automatic cell kinetic analysis will facilitate transfer of laboratory experiments to the automatic clinical diagnosis. © 2012 IEEE.

Original language	English
Title of host publication	2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest
Pages	1779-1783
DOIs	https://doi.org/10.1109/ROBIO.2012.6491225
Publication status	Published - 2012
Event	2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Guangzhou, China Duration: 11 Dec 2012 → 14 Dec 2012

Conference

Conference	2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012
Place	China
City	Guangzhou
Period	11/12/12 → 14/12/12

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@inproceedings{54da5337154b4d03b53b8b5c79f52bb1,

title = "Micro vision based cell motility analyzing algorithm by optically-induced dielectrophoresis",

abstract = "To analyze the observed cell motility in an optically induced dielectrophoretic force, this paper describes an optical flow based automatic cell motion tracking algorithm. The optical flow measurement in the microscopic video sequences is used to estimate the 3D motion in the dielectrophoresis force fields, including rotation and translational motion. The rotation speed of the cells can be estimated automatically by analyzing each frame of a video sequences. When compare to the more tedious manual estimation process, it has been demonstrated to accurately calculate the ODEP-induced rotation rate of the cell at various applied voltages, frequencies, and waveforms. This micro vision based analyzing algorithms used for the automatic cell kinetic analysis will facilitate transfer of laboratory experiments to the automatic clinical diagnosis. {\textcopyright} 2012 IEEE.",

author = "Guanglie Zhang and Long-Ho Chau and Mengxing Ouyang and Li, {Wen J.}",

year = "2012",

doi = "10.1109/ROBIO.2012.6491225",

language = "English",

isbn = "9781467321273",

pages = "1779--1783",

booktitle = "2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest",

note = "2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 ; Conference date: 11-12-2012 Through 14-12-2012",

}

Zhang, G, Chau, L-H, Ouyang, M & Li, WJ 2012, Micro vision based cell motility analyzing algorithm by optically-induced dielectrophoresis. in 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest., 6491225, pp. 1779-1783, 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012, Guangzhou, China, 11/12/12. https://doi.org/10.1109/ROBIO.2012.6491225

Micro vision based cell motility analyzing algorithm by optically-induced dielectrophoresis. / Zhang, Guanglie; Chau, Long-Ho; Ouyang, Mengxing et al.
2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest. 2012. p. 1779-1783 6491225.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Micro vision based cell motility analyzing algorithm by optically-induced dielectrophoresis

AU - Zhang, Guanglie

AU - Chau, Long-Ho

AU - Ouyang, Mengxing

AU - Li, Wen J.

PY - 2012

Y1 - 2012

N2 - To analyze the observed cell motility in an optically induced dielectrophoretic force, this paper describes an optical flow based automatic cell motion tracking algorithm. The optical flow measurement in the microscopic video sequences is used to estimate the 3D motion in the dielectrophoresis force fields, including rotation and translational motion. The rotation speed of the cells can be estimated automatically by analyzing each frame of a video sequences. When compare to the more tedious manual estimation process, it has been demonstrated to accurately calculate the ODEP-induced rotation rate of the cell at various applied voltages, frequencies, and waveforms. This micro vision based analyzing algorithms used for the automatic cell kinetic analysis will facilitate transfer of laboratory experiments to the automatic clinical diagnosis. © 2012 IEEE.

AB - To analyze the observed cell motility in an optically induced dielectrophoretic force, this paper describes an optical flow based automatic cell motion tracking algorithm. The optical flow measurement in the microscopic video sequences is used to estimate the 3D motion in the dielectrophoresis force fields, including rotation and translational motion. The rotation speed of the cells can be estimated automatically by analyzing each frame of a video sequences. When compare to the more tedious manual estimation process, it has been demonstrated to accurately calculate the ODEP-induced rotation rate of the cell at various applied voltages, frequencies, and waveforms. This micro vision based analyzing algorithms used for the automatic cell kinetic analysis will facilitate transfer of laboratory experiments to the automatic clinical diagnosis. © 2012 IEEE.

UR - http://www.scopus.com/inward/record.url?scp=84876503302&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84876503302&origin=recordpage

U2 - 10.1109/ROBIO.2012.6491225

DO - 10.1109/ROBIO.2012.6491225

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781467321273

SP - 1779

EP - 1783

BT - 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012 - Conference Digest

T2 - 2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012

Y2 - 11 December 2012 through 14 December 2012

ER -

Micro vision based cell motility analyzing algorithm by optically-induced dielectrophoresis

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