Biomedical imaging applications of parallel optical coherence tomography and adaptive optics
Abstract
This dissertation presents design, implementation, and biomedical applications of parallel optical coherence tomography (OCT) and investigations to improve performance of parallel OCT by using partially spatial coherent light source and adaptive optics. A CMOS smart array detector is adapted to the parallel OCT system to improve acquisition speed and to remove any post-demodulation process. A hamster in vivo retina is imaged by the parallel OCT with the CMOS smart array detector. Speckle reduction in parallel OCT is demonstrated by using partially spatial coherent light source in numeric simulation and experiments. Investigation of origin of speckle is performed by imaging spatial refractive index variation with differential phase sensitive OCT. Parallel OCT with adaptive optics is designed and implemented. Improvement of lateral resolution in reflective and scattering sample is demonstrated.
How strong is the evidence?
Evidence Hub reads this as a thesis, done in animal, not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.
Read the paper
Related studies
- Lathyrism-induced alterations in collagen cross-links influence the mechanical properties of bone material without affecting the mineral
- High-Resolution SPECT-CT/MR Molecular Imaging of Angiogenesis in the Vx2 Model
- Severely impaired bone material quality in Chihuahua zebrafish resembles classical dominant human osteogenesis imperfecta
- Small-animal SPECT and SPECT/CT: application in cardiovascular research
- Intravital imaging of osteocytes in mouse calvaria using third harmonic generation microscopy
- Techniques and Evaluation From a Cross-Platform Imaging Comparison of Quantitative Ultrasound Parameters in an In Vivo Rodent Fibroadenoma Model
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.