Development of Hyperspectral Imagers for Snapshot Optical Coherence Tomography
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Optical Coherence Tomography (OCT) is an established interferometry-based technique for volumetric tissue imaging with micrometer resolution, best known in many medical applications such as ophthalmologic imaging and endoscopy. Several clinically recognized examples include retinal imaging to detect glaucoma and age-related macular degeneration (AMD) or cardiovascular imaging when employed with a catheter. Scanning mechanism presenting in all current OCT technology requires moving parts, often limiting the system’s compactness, compromising light throughput and risking unwanted movement. Snapshot imaging thus allows fast and high-throughput acquisition while minimizing motion artifacts caused by instrumental vibration or samples’ transient nature. This thesis presents novel work contributing to the development of a snapshot 3-Dimensional OCT (3D-OCT) system. With theoretical and experimental evaluations, different hyperspectral imaging designs were surveyed to provide enhancements such as high throughput, dense spectral sampling, high sensitivity toward the appropriate spectrum and spatial-spectral tunability. A proof-of-concept snapshot 3D-OCT system is introduced to simultaneously collect signals of a volumetric datacube, enabling cellular visualization of scattering biological samples. This system affords diffraction-limited performance with reduced motion and requires minimal computational time.
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Nguyen, Thuc-Uyen. "Development of Hyperspectral Imagers for Snapshot Optical Coherence Tomography." (2014) Diss., Rice University. https://hdl.handle.net/1911/77422.