透過您的圖書館登入
IP:216.73.216.76
  • 學位論文

發展小尺寸光學同調斷層掃描術成像平台於小動物成像之先導型研究

A pilot study of developing a small footprint imaging platform with optical coherence tomography for small animal imaging

指導教授 : 李翔傑

摘要


在此論文研究中,我們開發了可用於小型動物成像用之基於掃頻式光學同調斷層掃描系統(SS-OCT)的小尺寸成像平台。利用一中心波長為1.3 微米、頻寬為95 奈米以及每秒可提供400,000 次縱向掃描的微機電可調式垂直共振腔面射型掃頻雷射,所發展的OCT 系統可提供95.3 dB 的偵測靈敏度。其中,此成像系統的縱向解析度和橫向解析度分別是~22 微米和~23 微米(半高全寬)。透過使用微機電系統掃描振鏡以及一小尺寸聚焦透鏡,所設計開發之小尺寸成像平台可提供2.2 毫米 × 2.3 毫米的掃描範圍。為驗證系統成像效能,我們針對膠帶及人類手指末端皮膚進行三維OCT 影像,其分別展示了各樣本的結構特徵如膠帶多層結構與手指末端包括指甲褶皺、表皮、真皮、指紋和汗腺等結構。這些結果成功展示了所開發之小尺寸OCT 成像平台技術於高速生物樣本成像的可行性。在未來的研究工作上,利基於此論文之成果,我們將進一步整合所開發之小尺寸成像平台於單一架構中,以利於後端活體小動物三維組織以及微血管結構成像上。

並列摘要


In this thesis work, we have developed a benchtop swept-source optical coherence tomography (SS-OCT) system with a small footprint imaging platform for small animal imaging. Using a microelectromechanical system (MEMS)-tunable vertical-cavity surface-emitting laser (VCSEL) wavelength-swept laser light source with a central wavelength of 1.3 μm, an optical bandwidth of 95 nm, and an A-scan rate of 400 kHz, the developed OCT system can provide OCT imaging with a detection sensitivity of 95.3 dB. The axial and lateral resolutions of the OCT system were measured to be ~22 μm (full-width at half-maximum, FWHM) and ~23 μm (FWHM), respectively. The small footprint imaging platform can support an imaging field-of-view (FOV) of 2.2 mm × 2.3 mm using a microelectromechanical system (MEMS) scanner and a small size focusing lens. In order to validate the performance of the imaging system, we have performed OCT imaging of a roll of Scotch tapes and human fingertip where characteristic features including layered architecture as well as nail fold, epidermis, dermis, fingerprint, and the sweat ducts can be observed in the OCT images of the Scotch tapes and the human fingertip skin, respectively. These results successfully demonstrated the feasibility of the developed small footprint imaging platform with OCT for high-speed imaging of biological samples. In the future, we will integrate the setup into a single framework to facilitate subsequent imaging of the tissue architectures and subsurface microvasculature in the small animal models.

參考文獻


[1] B. A. Richards et al., "A deep learning framework for neuroscience," Nature Neuroscience, vol. 22, no. 11, pp. 1761-1770, 2019.
[2] W. Zong et al., "Fast high-resolution miniature two-photon microscopy for brain imaging in freely behaving mice," Nat Methods, vol. 14, no. 7, pp. 713-719, 2017.
[3] P. Zirak et al., "Bedside monitoring of cerebral blood flow in the hyper-acute phase of ischemic stroke," in Biomedical Optics 2014, Miami, Florida, p. BM3A.11: Optical Society of America, 2014.
[4] O. Minaeva et al., "In Vivo Retinal Imaging of Neuroinflammation in a Mouse Model of Traumatic Brain Injury," in Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS), Hollywood, Florida, p. JTu3A.11: Optical Society of America, 2018.
[5] T. J. Vincent et al., "Longitudinal Brain Size Measurements in App/Ps1 Transgenic Mice," Magnetic Resonance Insights, vol. 4, 2010.

延伸閱讀