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Position control using 2D-to-2D feature correspondences in vision guided cell micromanipulation. | LitMetric

Position control using 2D-to-2D feature correspondences in vision guided cell micromanipulation.

Annu Int Conf IEEE Eng Med Biol Soc

School of Mechanical & Aerospace Engineering (MAE), Nanyang Technological University (NTU), Singapore.

Published: March 2008

AI Article Synopsis

Article Abstract

Conventional camera calibration that utilizes the extrinsic and intrinsic parameters of the camera and the objects has certain limitations for micro-level cell operations due to the presence of hardware deviations and external disturbances during the experimental process, thereby invalidating the extrinsic parameters. This invalidation is often neglected in macro-world visual servoing and affects the visual image processing quality, causing deviation from the desired position in micro-level cell operations. To increase the success rate of vision guided biological micromanipulations, a novel algorithm monitoring the changing image pattern of the manipulators including the injection micropipette and cell holder is designed and implemented based on 2 dimensional (2D)-to 2D feature correspondences and can adjust the manipulator and perform position control simultaneously. When any deviation is found, the manipulator is retracted to the initial focusing plane before continuing the operation.

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Source
http://dx.doi.org/10.1109/IEMBS.2007.4352573DOI Listing

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