ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at email@example.com.
- 2 English
- 2 Public
This dissertation features a compilation of studies concerning the biophysics of multicellular systems. I explore eukaryotic systems across length scales of the cell cytoskeleton to macroscopic scales of tissues. I begin with a general overview of the natural phenomena of life and a philosophy of investigating developmental systems in biology. The topics covered throughout this dissertation require a background in eukaryotic cell physiology, viscoelasticity, and processes of embryonic tissue morphogenesis. Following a brief background on these topics, I present an overview of the Subcellular Element Model (ScEM). This is a modeling framework which allows one to compute the dynamics of ...
- Sandersius, Sebastian Ambrose, Newman, Timothy J, Rez, Peter, et al.
- Created Date
The atomic force microscope (AFM) is capable of directly probing the mechanics of samples with length scales from single molecules to tissues and force scales from pico to micronewtons. In particular, AFM is widely used as a tool to measure the elastic modulus of soft biological samples by collecting force-indentation relationships and fitting these to classic elastic contact models. However, the analysis of raw force-indentation data may be complicated by mechanical heterogeneity present in biological systems. An analytical model of an elastic indentation on a bonded two-layer sample was solved. This may be used to account for substrate effects and ...
- Doss, Bryant Lee, Ros, Robert, Lindsay, Stuart, et al.
- Created Date