title: Autofocusing and Polar Body Detection in Automated Cell Manipulation.
abstract: Autofocusing and feature detection are two essential processes for performing automated biological cell manipulation tasks. In this paper, we have introduced a technique capable of focusing on a holding pipette and a mammalian cell under a bright-field microscope automatically, and a technique that can detect and track the presence and orientation of the polar body of an oocyte that is rotated at the tip of a micropipette. Both algorithms were evaluated by using mouse oocytes. Experimental results show that both algorithms achieve very high success rates: 100% and 96%. As robust and accurate image processing methods, they can be widely applied to perform various automated biological cell manipulations.
authors.forename: Zenan
authors.initials: Z
authors.lastname: Wang
authors.forename: Chen
authors.initials: C
authors.lastname: Feng
authors.forename: Wei Tech
authors.initials: WT
authors.lastname: Ang
authors.forename: Steven Yih Min
authors.initials: SYM
authors.lastname: Tan
authors.forename: Win Tun
authors.initials: WT
authors.lastname: Latt
mesh_terms: D000818:Animals; D002469:Cell Separation / Q000379:methods*; D058948:Cell Tracking / Q000379:methods*; D002478:Cells, Cultured; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D051379:Mice; D008846:Micromanipulation / Q000379:methods*; D059705:Polar Bodies / Q000166:cytology*; D015203:Reproducibility of Results; D012371:Robotics / Q000379:methods*; D012680:Sensitivity and Specificity