Tools for rapid screening of 3D composite materials and optimization of cell behavior
Authors
Bertucci, Christopher Peter
ORCID
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Other Contributors
Thompson, Deanna M.
Gilbert, Ryan
Dai, Guohao
Karande, Pankaj
Gilbert, Ryan
Dai, Guohao
Karande, Pankaj
Issue Date
2016-12
Keywords
Biomedical engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
In this thesis work, the peripheral nerve was used as a model representation to evaluate the platform. Both glial cells (Schwann cells) or neurons were cultured in collagen type I hydrogels and screened for Schwann cell spreading and changes in Schwann cell number and morphology per cell or neurite outgrowth and number in response to specific combinations of extracellular matrix and growth factor inputs. Specifically, using the most abundant elements within Matrigel as a basis for compositions were screened to identify primary components for neural and non-neural growth. After identification of biomaterials that support Schwann cell and neuron metrics, growth factors were screened combinatorically to identify any potential synergistic effects. Ultimately, this system can provide researchers a tool to better identify cost-effective combinations of candidate bio-factors that support growth of all cell types and cell-specific metrics.
Description
December 2016
School of Engineering
School of Engineering
Department
Dept. of Biomedical Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.