Joint Tracking of Cell Morphology and Motion
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Quantitative comparison of spot detection methods in live-cell fluorescence microscopy imaging
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Rao-blackwellized marginal particle filtering for multiple object tracking in molecular bioimaging
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Microtubule dynamics analysis using kymographs and variable-rate particle filters
IEEE Transactions on Image Processing
Packaging and generating mechanism of image processing services on heterogeneous grid platforms
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
A novel complex: a quantum dot conjugated to an active T7 RNA polymerase
Journal of Nanomaterials
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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/\ω 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.