Quantification of cytoskeletal deformation in living cells based on hierarchical feature vector matching

The cytoskeleton is a dynamicscaffold in living cells even in the absence of externally imposedforces. In this study on cytoskeletal deformation, the applicability ofhierarchical feature vector matching (HFVM), a new matching method,currently applied in space research and three-dimensional surfacereconstruction, was investigated. Stably transfected CHO-K1 cellsexpressing green fluorescent protein (GFP) coupled to vimentin wereused to visualize spontaneous movement of the vimentin cytoskeleton ofindividual cells using a confocal laser scanning system. We showedthat, with proper parameter and configuration settings, HFVM couldrecognize and trace 60-70% of all image points in artificiallytranslated, rotated, or deformed images. If only points belonging tothe cytoskeleton were selected for matching purposes, the percentage ofmatched points increased to 98%. This high percentage of recognitionalso could be reached in a time series of images, in which a certain degree of bleaching of the fluorescence over the recording time of 30 min was inevitable. In these images, HFVM allowed the detection as wellas the quantification of spontaneous cytoskeletal movements of up to10% of the cell width. Therefore, HFVM appears to be a reliable methodof quantifying dynamic cytoskeletal behavior in living cells.