| Summary: | 博士 === 國立中興大學 === 生物產業機電工程學系所 === 103 === This study combines image processing, enzyme, and dielectrophoresis to conduct the research and develop a detection system for adhesive cells detachment. First, a PCI video acquisition card is used to capture the microscope images into the computer, a program is edited to detect cell morphology and determine the detachment status of the cells, and then cell morphology was compared by detection data (roundness and centroid locating), in order to establish rules to detect the cell detachment.
This experiment will find the boundary sensitivity parameter, “fudgeFactor”, and the rules for the detection of cell suspension. The multiple displacement difference compliance rate (90%) is greater than displacement difference compliance rate (70%), and compared with the roundness detection, then cell detachment can be accurately measured.
The purpose of this study observed images obtained by the video capture card, in association with the program written by Matlab, are first processing to find cell outlines in the video, and then perform centroid locating and roundness detection, monitor cell in real-time for detachment status, and build an automated system to determine the detachment of adhesive cells.
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