12 March 2010 3D motion analysis of keratin filaments in living cells
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Abstract
We present a novel and efficient approach for 3D motion estimation of keratin intermediate filaments in vitro. Keratin filaments are elastic cables forming a complex scaffolding within epithelial cells. To understand the mechanisms of filament formation and network organisation under physiological and pathological conditions, quantitative measurements of dynamic network alterations are essential. Therefore we acquired time-lapse series of 3D images using a confocal laser scanning microscope. Based on these image series, we show that a dense vector field can be computed such that the displacements from one frame to the next can be determined. Our method is based on a two-step registration process: First, a rigid pre-registration is applied in order to compensate for possible global cell movement. This step enables the subsequent nonrigid registration to capture only the sought local deformations of the filaments. As the transformation model of the deformable registration algorithm is based on Free Form Deformations, it is well suited for modeling filament network dynamics. The optimization is performed using efficient linear programming techniques such that the huge amount of image data of a time series can be efficiently processed. The evaluation of our results illustrates the potential of our approach.
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Gerlind Herberich, Gerlind Herberich, Reinhard Windoffer, Reinhard Windoffer, Rudolf Leube, Rudolf Leube, Til Aach, Til Aach, } "3D motion analysis of keratin filaments in living cells", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76232B (12 March 2010); doi: 10.1117/12.844148; https://doi.org/10.1117/12.844148
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