Cluster cell separation algorithm for automated cell tracking

Title
Cluster cell separation algorithm for automated cell tracking
Author(s)
심재술조미경[조미경]
Keywords
Algorithms; Cell culture; Least squares approximations; Separation; Bio-Nano; Cell images; Cell separation; Cell tracking; Ellipse fitting; Cells
Issue Date
201304
Citation
Transactions of the Korean Society of Mechanical Engineers, B, v.37, no.3, pp.259 - 266
Abstract
An automated cell tracking system is used to automatically analyze and track the changes in cell behavior in time-lapse cell images acquired using a microscope with a cell culture. Clustering is the partial overlapping of neighboring cells in the process of cell change. Separating clusters into individual cells is very important for cell tracking. In this study, we proposed an algorithm for separating clusters by using ellipse fitting based on a direct least square method. We extracted the contours of clusters, divided them into line segments, and then produced their fitted ellipses using a direct least square method for each line segment. All of the fitted ellipses could be used to separate their corresponding clusters. In experiments, our algorithm separated clusters with average precisions of 91% for two overlapping cells, 84% for three overlapping cells, and about 73% for four overlapping cells. ? 2013 The Korean Society of Mechanical Engineers.
URI
http://hdl.handle.net/YU.REPOSITORY/26010http://dx.doi.org/10.3795/KSME-B.2013.37.3.259
ISSN
1226-4881
Appears in Collections:
공과대학 > 기계공학부 > Articles
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