| Literature DB >> 25863868 |
Christopher Page1, Dorit Hanein1, Niels Volkmann2.
Abstract
The connection between the extracellular matrix and the cell is of major importance for mechanotransduction and mechanobiology. Electron cryo-tomography, in principle, enables better than nanometer-resolution analysis of these connections, but restrictions of data collection geometry hamper the accurate extraction of the ventral membrane location from these tomograms, an essential prerequisite for the analysis. Here, we introduce a novel membrane tracing strategy that enables ventral membrane extraction at high fidelity and extraordinary accuracy. The approach is based on detecting the boundary between the inside and the outside of the cell rather than trying to explicitly trace the membrane. Simulation studies show that over 99% of the membrane can be correctly modeled using this principle and the excellent match of visually identifiable membrane stretches with the extracted boundary of experimental data indicates that the accuracy is comparable for actual data.Entities:
Keywords: Cryo; Electron tomography; Feature extraction; Image processing; Membrane detection
Mesh:
Year: 2015 PMID: 25863868 PMCID: PMC4451430 DOI: 10.1016/j.ultramic.2015.03.021
Source DB: PubMed Journal: Ultramicroscopy ISSN: 0304-3991 Impact factor: 2.689