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Edward A. Sander

Researcher at University of Iowa

Publications -  75
Citations -  2186

Edward A. Sander is an academic researcher from University of Iowa. The author has contributed to research in topics: Fiber & Fibroblast. The author has an hindex of 27, co-authored 71 publications receiving 1921 citations. Previous affiliations of Edward A. Sander include Roy J. and Lucille A. Carver College of Medicine & University of Cincinnati Academic Health Center.

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Journal ArticleDOI

Effect of porosity on the fluid flow characteristics and mechanical properties of tantalum scaffolds.

TL;DR: Understanding structure-function relationships will help complete the basic physical characterization of this new material and will aid in the development of realistic mathematical models, ultimately enhancing future implant designs utilizing this material.
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Image-based multiscale modeling predicts tissue-level and network-level fiber reorganization in stretched cell-compacted collagen gels

TL;DR: A multiscale model is developed that captured the anisotropy and heterogeneity of a cell-compacted collagen gel subjected to an off-axis hold mechanical test and subsequently to biaxial extension and predicts the heterogeneous network restructuring predicted by the model.
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In vitro evaluation of carbon-nanotube-reinforced bioprintable vascular conduits

TL;DR: It was concluded that CNT-reinforced vascular conduits provided a foundation for mechanically appealing constructs where CNTs could be replaced with natural protein nanofibers for further integration of these conduits in large-scale tissue fabrication.
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Nonlinear Strain Stiffening Is Not Sufficient to Explain How Far Cells Can Feel on Fibrous Protein Gels

TL;DR: The results suggest that the observed cell-spreading response to gel thickness is not explained by the nonlinear strain-stiffening behavior of the material alone and is likely due to the fibrous nature of the proteins.
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Comparison of 2D fiber network orientation measurement methods.

TL;DR: FTM results agreed qualitatively with fibrin gel SEM micrographs, suggesting that FTM can be used to obtain image-based statistical measurements of microstructure.