TRACKING OF VIRUS PARTICLES IN TIME-LAPSE FLUORESCENCE MICROSCOPY IMAGE SEQUENCES

by: WJ Godinez, M Lampe, S Worz, B Muller, R Eils, K Rohr

Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on (2007), pp. 256-259.

View FullText article

IEEE Explore

Reviews [Write a review of this article]

There are no reviews of this article

Find related articles from these CiteULike users

willie_gt

Find related articles with these CiteULike tags

tracking, virus

Abstract

Modern developments in time-lapse microscopy enable the observation of a variety of processes exhibited by viruses. The dynamic nature of these processes requires the tracking of viruses over time to explore the spatio-temporal relationships. In this work, we developed deterministic and probabilistic approaches for multiple virus tracking. A quantitative comparison based on synthetic image sequences was carried out to evaluate the performance of the different algorithms. We have also applied the algorithms to real microscopy images of HIV-1 particles and have compared the tracking results with ground truth obtained from manual tracking. It turns out that the probabilistic approach outperforms the deterministic schemes

@inproceedings{citeulike:1568822, abstract = {Modern developments in time-lapse microscopy enable the observation of a variety of processes exhibited by viruses. The dynamic nature of these processes requires the tracking of viruses over time to explore the spatio-temporal relationships. In this work, we developed deterministic and probabilistic approaches for multiple virus tracking. A quantitative comparison based on synthetic image sequences was carried out to evaluate the performance of the different algorithms. We have also applied the algorithms to real microscopy images of HIV-1 particles and have compared the tracking results with ground truth obtained from manual tracking. It turns out that the probabilistic approach outperforms the deterministic schemes}, author = {Godinez, W. J. and Lampe, M. and Worz, S. and Muller, B. and Eils, R. and Rohr, K. }, booktitle = {Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on}, citeulike-article-id = {1568822}, journal = {Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on}, keywords = {tracking, virus}, pages = {256--259}, posted-at = {2007-08-16 12:33:56}, priority = {0}, title = {TRACKING OF VIRUS PARTICLES IN TIME-LAPSE FLUORESCENCE MICROSCOPY IMAGE SEQUENCES}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=4193271}, year = {2007} }

RIS record

TY - CONF ID - citeulike:1568822 L3 - citeulike-article-id:1568822 TI - TRACKING OF VIRUS PARTICLES IN TIME-LAPSE FLUORESCENCE MICROSCOPY IMAGE SEQUENCES T2 - Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on JF - Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on SP - 256 EP - 259 N2 - Modern developments in time-lapse microscopy enable the observation of a variety of processes exhibited by viruses. The dynamic nature of these processes requires the tracking of viruses over time to explore the spatio-temporal relationships. In this work, we developed deterministic and probabilistic approaches for multiple virus tracking. A quantitative comparison based on synthetic image sequences was carried out to evaluate the performance of the different algorithms. We have also applied the algorithms to real microscopy images of HIV-1 particles and have compared the tracking results with ground truth obtained from manual tracking. It turns out that the probabilistic approach outperforms the deterministic schemes KW - tracking KW - virus AU - Godinez, WJ AU - Lampe, M AU - Worz, S AU - Muller, B AU - Eils, R AU - Rohr, K PY - 2007/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4193271 ER -

RIS BibTeX