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

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

doi:10.1109/robio.2012.6491225

Cited by 1 publication

(1 citation statement)

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“…The OEK technique allows for high-resolution patterning of virtual electric contacts on a photoconductive surface for manipulating single particles [ 17 ] and it can solve many problems associated with the manipulation of cells or micro-particles by leveraging electrokinetic forces [ 18 , 19 ]. Consisting of a smooth photoconductive layer between two conductive chips, a microscope station, a power supply, and a projection light source, an OEK system can be built easily and cheaply.…”

Section: Methodsmentioning

confidence: 99%

Determination of the Three-Dimensional Rate of Cancer Cell Rotation in an Optically-Induced Electrokinetics Chip Using an Optical Flow Algorithm

et al. 2018

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Our group has reported that Melan-A cells and lymphocytes undergo self-rotation in a homogeneous AC electric field, and found that the rotation velocity of these cells is a key indicator to characterize their physical properties. However, the determination of the rotation properties of a cell by human eyes is both gruesome and time consuming, and not always accurate. In this paper, a method is presented to more accurately determine the 3D cell rotation velocity and axis from a 2D image sequence captured by a single camera. Using the optical flow method, we obtained the 2D motion field data from the image sequence and back-project it onto a 3D sphere model, and then the rotation axis and velocity of the cell were calculated. After testing the algorithm on animated image sequences, experiments were also performed on image sequences of real rotating cells. All of these results indicate that this method is accurate, practical, and useful. Furthermore, the method presented there can also be used to determine the 3D rotation velocity of other types of spherical objects that are commonly used in microfluidic applications, such as beads and microparticles.

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Section: Methodsmentioning

confidence: 99%