Tracking Growing Axons by Particle Filtering in 3D+t Fluorescent Two-Photon Microscopy Images

Huei-Fang Yang 1, * Xavier Descombes 1 Charles Kervrann 2 Caroline Medioni 3 Florence Besse 4
* Corresponding author
1 MORPHEME - Morphologie et Images
I3S - Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis : UMR7271, CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091
Abstract : Analyzing the behavior of axons in the developing nervous systems is essential for biologists to understand the biological mechanisms underlying how growing axons reach their target cells. The analysis of the motion patterns of growing axons requires detecting axonal tips and tracking their trajectories within complex and large data sets. When performed manually, the tracking task is arduous and time-consuming. To this end, we propose a tracking method, based on the particle filtering technique, to follow the traces of axonal tips that appear as small bright spots in the 3D+t fluorescent two-photon microscopy images exhibiting low signal-to-noise ratios (SNR) and complex background. The proposed tracking method uses multiple dynamic models in the proposal distribution to predict the positions of the growing axons. Furthermore, it incorporates object appearance, motion characteristics of the growing axons, and filament information in the computation of the observation model. The integration of these three sources prevents the tracker from being distracted by other objects that have appearances similar to the tracked objects, resulting in improved accuracy of recovered trajectories. The experimental results obtained from the microscopy images show that the proposed method can successfully estimate trajectories of growing axons, demonstrating its effectiveness even under the presence of noise and complex background.
Document type :
Conference papers
ACCV - Asian Conference on Computer Vision, Nov 2012, Daejeon, South Korea. 2012


https://hal.inria.fr/hal-00740966
Contributor : Huei-Fang Yang <>
Submitted on : Sunday, November 11, 2012 - 7:00:15 AM
Last modification on : Wednesday, January 29, 2014 - 6:24:45 PM

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Huei-Fang Yang, Xavier Descombes, Charles Kervrann, Caroline Medioni, Florence Besse. Tracking Growing Axons by Particle Filtering in 3D+t Fluorescent Two-Photon Microscopy Images. ACCV - Asian Conference on Computer Vision, Nov 2012, Daejeon, South Korea. 2012. <hal-00740966>

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