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Automated 3-D Tracking of Centrosomes in Sequences of Confocal Image Stacks...

by Ryan A Kerekes, Shaun S Gleason, Niraj Trivedi, David Solecki
Publication Type
Conference Paper
Publication Date
Page Numbers
6994 to 6997
Conference Name
EMBC 2009
Conference Location
Minneapolis, Minnesota, United States of America
Conference Sponsor
Conference Date

In order to facilitate the study of neuron migration, we propose a method for 3-D detection and tracking of centrosomes in time-lapse confocal image stacks of live neuron cells. We combine Laplacian-based blob detection, adaptive thresholding, and the extraction of scale and roundness features to find centrosome-like objects in each frame. We link these detections using the joint probabilistic data association filter (JPDAF) tracking algorithm with a Newtonian state-space model tailored to the motion characteristics of centrosomes in live neurons. We apply our algorithm to image sequences containing multiple cells, some of which had been treated with motion-inhibiting drugs. We provide qualitative results and quantitative comparisons to manual segmentation and tracking results showing that our motion estimates closely agree with those generated by neurobiology experts.