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Thesis
Bright-field imaging of 3-dimensional (3-D) cell-matrix structures using new deconvolution and segmentation techniques
Master of Science (M.S.), Drexel University
Sep 2008
DOI:
https://doi.org/10.17918/etd-2880
Abstract
Cells and tissues have complex 3-D surface topologies intimately related to their extracellular environment. Knowledge of the 3-D topology is critical to understanding structure-function relationships. Confocal and Fluorescent darkfield microscopy has been used to extract 3-D information from biological samples. However, obtaining 3-D reconstructions from bright-field microscopy is a challenge because of the artifacts such as scatter, glare, and refraction in the images. The goal of this work was to develop new experimental and computational techniques to obtain 3-D morphologies of live specimens from bright-field images. To achieve this, a new approach to characterizing and deconvolving the bright-field point spread function of the microscope was developed. A simple constrained iterative deconvolution algorithm was used. A 2-D adaptive thresholding algorithm was extended to 3-D for 'segmentation' extraction of objects from deconvolved images. These techniques have been implemented on bright-field images of live endothelial cells that were grown in a tissue engineered medium to extract cell shapes and orientations. This thesis presents the experimental system and analytical/computational methods.
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Details
- Title
- Bright-field imaging of 3-dimensional (3-D) cell-matrix structures using new deconvolution and segmentation techniques
- Creators
- Surya Sreeram Vissapragada - DU
- Contributors
- Todd C. Doehring (Advisor) - Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Master of Science (M.S.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Resource Type
- Thesis
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems (1997-2026); Drexel University
- Other Identifier
- 2880; 991014632449504721