@inproceedings{97fbbb5431394767aafce012a0d558e8,
title = "C. elegans cell matching and tracking in a 4D imageing system",
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 = "C. elegans, Cell tracking, probabilistic relaxation labeling",
author = "Long Chen and Zhongying Zhao and Hong Yan",
year = "2015",
month = aug,
day = "4",
doi = "10.1109/ICASSP.2015.7178107",
language = "English",
isbn = "9781467369978",
volume = "2015-August",
publisher = "IEEE",
pages = "937--941",
booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
address = "United States",
note = "40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 ; Conference date: 19-04-2014 Through 24-04-2014",
}