NDLI: Automatic tracking of individual fluorescence particles: application to the study of chromosome dynamics

Content Provider	IEEE Xplore Digital Library
Author	Sage, D. Neumann, F.R. Hediger, F. Gasser, S.M. Unser, M.
Copyright Year	1992
Abstract	We present a new, robust, computational procedure for tracking fluorescent markers in time-lapse microscopy. The algorithm is optimized for finding the time-trajectory of single particles in very noisy dynamic (two- or three-dimensional) image sequences. It proceeds in three steps. First, the images are aligned to compensate for the movement of the biological structure under investigation. Second, the particle's signature is enhanced by applying a Mexican hat filter, which we show to be the optimal detector of a Gaussian-like spot in 1//spl omega//sup 2/ noise. Finally, the optimal trajectory of the particle is extracted by applying a dynamic programming optimization procedure. We have used this software, which is implemented as a Java plug-in for the public-domain ImageJ software, to track the movement of chromosomal loci within nuclei of budding yeast cells. Besides reducing trajectory analysis time by several 100-fold, we achieve high reproducibility and accuracy of tracking. The application of the method to yeast chromatin dynamics reveals different classes of constraints on mobility of telomeres, reflecting differences in nuclear envelope association. The generic nature of the software allows application to a variety of similar biological imaging tasks that require the extraction and quantitation of a moving particle's trajectory.
Sponsorship	IEEE Signal Processing Society
Page Count	12
File Size	2306368
Starting Page	1372
Ending Page	1383
File Format	PDF
ISSN	10577149
Volume Number	14
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Particle tracking Fluorescence Biological cells Fungi Application software Robustness Biology computing Microscopy Image sequences Filters particle tracking Dynamic programming (DP) fluorescence microscopy image sequence analysis living cell
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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