C. elegans cell matching and tracking in a 4D imageing system

Author

Long Chen ; Zhongying Zhao ; Hong Yan

Author_Institution

Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China

fYear

2015

fDate

19-24 April 2015

Firstpage

937

Lastpage

941

Abstract

Automatic cell tracking for time-lapse images becomes more and more important for live cell studies because the manual tracking is extremely time consuming. In this paper, we proposed a method for C.elegans cell tracking based on probabilistic relaxation labeling (PRL). The experiment results obtained in this research indicate that our method could track the C.elegans cells with a high accuracy at a very low time resolution. Our method provides an efficient tool for the analysis of high-throughput large C.elegans microscopy image data sets.

Keywords

biological techniques; biology computing; cellular biophysics; image matching; object tracking; probability; 4D imaging system; C.elegans cell matching; C.elegans cell tracking; PRL; automatic cell tracking; high-throughput large C.elegans microscopy image data sets; live cell studies; manual tracking; probabilistic relaxation labeling; time-lapse images; Accuracy; Embryo; Image resolution; Imaging; Labeling; Probabilistic logic; Three-dimensional displays; C. elegans; Cell tracking; probabilistic relaxation labeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on

Conference_Location

South Brisbane, QLD

Type

conf

DOI

10.1109/ICASSP.2015.7178107

Filename

7178107