Friedrich O, von Wegner F, Ober T, Weber C, Fink R, Vogel M (2007)
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2007
Book Volume: 6626
Article Number: 66260Q
Event location: Munich
ISBN: 9780819467706
DOI: 10.1117/12.728371
We present a multiresolution transform-based method for the extraction of moving filament trajectories from single molecule motility data. Noise-corrupted fluorescence image series are denoised using the multiscale median transform and trajectories are detected in the denoised data set. The presented method reduces noise more efficiently than 2D-anisotropic diffusion and several wavelet based techniques. Fibre trajectories are extracted by segmentation of the denoised image stacks and non-crossing trajectories are unambiguously identified combining the information of 2D (XY) and 3D (XYT) segmentation. The algorithm is applied and evaluated using experimental data sets - image sequences of fluorescently labeled F-actin molecules and their 2D-trajectories on a myosin coated surface. This so-called 'motility assay' is used to analyse kinetics, biochemical regulation and pharmacological modulation of these biologically relevant molecules. The presented method improves signal-to-background discrimination, facilitates filament identification and finally, may contribute to significantly improve the performance of this assay.
APA:
Friedrich, O., von Wegner, F., Ober, T., Weber, C., Fink, R., & Vogel, M. (2007). Multiresolution transform denoising and segmentation of single molecule motility image series. In Proceedings of the Molecular Imaging. Munich.
MLA:
Friedrich, Oliver, et al. "Multiresolution transform denoising and segmentation of single molecule motility image series." Proceedings of the Molecular Imaging, Munich 2007.
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