Title :
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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7178107
