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System and Process Optimization for Biomedical Optical Imaging

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2021, Doctor of Philosophy, Case Western Reserve University, Biomedical Engineering.
Biomedical optical imaging is widely used in the research community and medical diagnosis. However, many optical imaging techniques in the biomedical field are not optimized. Developing and improving these techniques is often a complex task involving sample preparation, instrument design, and data handling. As a summary of my Ph.D. research, this dissertation discusses the design optimization strategies for biomedical optical imaging applications. It is structured with an introduction discussing the general design consideration and the design process for biomedical optical imaging, followed by detailed discussions of four biomedical optical imaging applications developed during my Ph.D. program. The dissertation has six major chapters. The first chapter summarizes the general technology development processes for biomedical optical imaging applications, It introduces the three main elements of biomedical optical imaging, which include sample preparation, imaging systems, and data handling. Following the introduction, the second chapter discusses the Pocket MUSE project, a smartphone-based fluorescence microscope that costs less than $20 to build. Other highlights of the design include a small footprint, high imaging performance, versatile sample compatibility, and simple sample preparation methods. The third chapter describes the SLIME project, an OCT-based 3D microvascular mapping technique using an injectable scattering contrast agent, developed to study the coronary vascular abnormalities in a quail embryo animal model. This technique features a novel sample preparation strategy, where the PVA-borate cross-linking (slime) chemistry is used to stabilize a low-viscosity scattering contrast agent in situ. The fourth chapter introduces the LIMPID project, a simple optical clearing technique that makes tissues transparent in a single step. This sample preparation technique is designed to enhance the imaging depth for a broad range of optical imaging applications, enabling 3D optical imaging of millimeters-thick tissue samples. The fifth chapter describes the CompassLSM project, a simple yet high-performance light sheet microscope with sub-4-µm high optical sectioning capability in a multi-millimeter large FOV. The high imaging performance is achieved by synchronizing the focus of an axially swept light sheet to the rolling shutter of a CMOS camera. The final chapter provides a summary and conclusions about this dissertation.  
Jenkins Michael, Ph.D. (Advisor)
Rollins Andrew, Ph.D. (Committee Chair)
Watanabe Michiko, Ph.D. (Committee Member)
Wilson David, Ph.D. (Committee Member)
Wnek Gary, Ph.D. (Committee Member)
325 p.

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Citations

  • Liu, Y. (2021). System and Process Optimization for Biomedical Optical Imaging [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case162556700760192

    APA Style (7th edition)

  • Liu, Yehe. System and Process Optimization for Biomedical Optical Imaging. 2021. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case162556700760192.

    MLA Style (8th edition)

  • Liu, Yehe. "System and Process Optimization for Biomedical Optical Imaging." Doctoral dissertation, Case Western Reserve University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case162556700760192

    Chicago Manual of Style (17th edition)