Date of Award
12-5-2017
Document Type
Thesis
Degree Name
Engineering, MSE
First Advisor
Brandon Kemp
Committee Members
Malathi Srivatsan; Paul Mixon
Call Number
LD 251 .A566t 2017 S29
Abstract
The purpose of tissue engineering is to regenerate the damaged tissues by using three dimensional porous scaffolds which act as substrates for tissue regeneration. Several studies have showed that structural properties of scaffold (fiber diameter, pore size of scaffold, and fiber orientation) play a significant role in tissue regeneration. Therefore, in order to design a suitable scaffold for tissue engineering application, it is important to understand the structural properties of fibrous scaffold. To achieve this aim in this study, standalone image analysis toolboxes are generated by using the MATLAB software for finding the mean pore size of scaffolds, length, diameter and orientation distribution of fibers from the microscope images. The performance of the developed toolboxes is tested by application to both real fibrous scaffold images and simulated images. The results show that the developed toolboxes are successful in making fast, accurate automated measurements of structural properties of fibrous scaffold.
Rights Management
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Sanjari, Samia, "Development of Image Analysis Toolboxes for Biological Imaging" (2017). Student Theses and Dissertations. 533.
https://arch.astate.edu/all-etd/533
