| Description |
-
Abstract: A
framework for predictively linking cell-level signaling with larger scale patterning in
regeneration and growth has yet to be created within the field of regenerative biology.
If this could be achieved, regeneration (controlled cell growth), cancer (uncontrolled
cell growth), and birth defects (mispatterning of cell growth) could be more easily
understood and manipulated. This ... read morethesis looks to create a framework to predict
macroscopic regenerative morphology using level-set methods, a cellular-based control
scheme, and a morphogen-based positioning field. The key contribution is defining
velocity models for the control scheme that bridge microscopic and macroscopic scales.
The novel control scheme proposed uses three control mechanisms to collectively mimic
biological regeneration. Application to the simulation of Xenopus laevis tail
regeneration suggests the utility of the proposed
methods.
Thesis (M.S.)--Tufts University,
2016.
Submitted to the Dept. of Mechanical
Engineering.
Advisor: Jason
Rife.
Committee: Behrouz Abedian, and Michael
Levin.
Keywords: Mechanical engineering, Biology,
and Developmental biology.read less
|
|---|
This object is in collection
