{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/86639"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/86639","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Development of Photoacoustic and Related Optical – Acoustic Techniques for Bio-sensing and Biometrics","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Zhan, Ye"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Xia, Jun","Biomedical Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-02-21T21:35:54Z","date_published":"2025-02-21T21:35:54Z","updated_at":"2026-07-27T19:05:32Z","subjects":["acoustics","optics"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/86639","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Xia, Jun","Biomedical Engineering"]},{"key":"dc:creator","label":"Author","values":["Zhan, Ye"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-02-21T21:35:54Z","2020"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["acoustics","optics"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/86639"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","The primary focus of this dissertation was to explore the use of optical, ultrasound, and photoacoustic (PA) technologies in the field of bio-sensing and biometrics. Optical and ultrasound imaging probably represent the two oldest kinds of imaging technologies. However, recent advances in powerful light sources, highly sensitive ultrasound electronics, and portable detectors have enabled new applications using light and sound. Their combination has also been achieved through photoacoustic imaging, which offers the benefits of both light and ultrasound imaging. In this dissertation, we developed and explored various sensing technologies for different biometric and bio-sensing applications. As for bio-sensing, we developed a noninvasive glucose estimation system based on near-infrared spectroscopy and pulse-echo ultrasound. Diabetes mellitus has become a worldwide issue, affecting patients of wide age ranges. The invasive blood glucose monitoring method is uncomfortable for patients and inconvenient for long-term usage. To address this problem, we combined two technologies: namely the Pulse-Echo Ultrasound (PEU) and the Near-Infrared Spectroscopy (NIRS) to measure blood glucose levels noninvasively. The technique was tested through in-vitro and in-vivo experiments, and two modeling techniques were developed to estimate glucose levels. The results of this study are presented in Chapter 1. As food sweetness also plays an important role in glucose control, we developed a portable ultrasound system for detecting food sweetness based on chewing dynamics. The detector was placed under the chin to quantify tongue movement, whose correlation with food sweetness was investigated through different data processing techniques. Our results indicate that there is a positive correlation between food sweetness and tongue movement. This study is presented in Chapter 2. The last biosensing study focuses on cancer imaging. Using MnO2 as the contrast agent, we established a switchable photoacoustic imaging technique for dynamic imaging of glutathione (GSH), which plays a crucial role in cancer progression. Our imaging approach was tested both in vitro and in vivo, and the experimental results are presented in Chapter 3. Biometric investigations mainly utilized photoacoustic technology. In these studies, we optimized light delivery and acoustic detection schemes for high-quality imaging of vascular structures, which can be used for personnel identification and liveness detection. To give an overview of various linear-array-based photoacoustic imaging techniques, in Chapter 4, we reviewed current developments in the field and highlighted our co-planar light illumination and acoustic detection approach. In Chapter 5, we developed a system for 3D finger vessel imaging and biometric identification. The system contains both the hardware for data acquisition and software for feature extraction and matching. Results from 36 subjects clearly demonstrated the potential of our imaging approach. Chapter 6 concludes this dissertation with an overview of future directions. Given the promising results from our investigations, we believe that optical, ultrasound, and photoacoustic technologies have enormous potential in the field of bio-sensing and biometrics.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Development of Photoacoustic and Related Optical – Acoustic Techniques for Bio-sensing and Biometrics"]}]}],"canonical_facts":{"dc:contributor":["Xia, Jun","Biomedical Engineering"],"dc:creator":["Zhan, Ye"],"dc:date":["2025-02-21T21:35:54Z","2020"],"dc:description":["Ph.D.","The primary focus of this dissertation was to explore the use of optical, ultrasound, and photoacoustic (PA) technologies in the field of bio-sensing and biometrics. Optical and ultrasound imaging probably represent the two oldest kinds of imaging technologies. However, recent advances in powerful light sources, highly sensitive ultrasound electronics, and portable detectors have enabled new applications using light and sound. Their combination has also been achieved through photoacoustic imaging, which offers the benefits of both light and ultrasound imaging. In this dissertation, we developed and explored various sensing technologies for different biometric and bio-sensing applications. As for bio-sensing, we developed a noninvasive glucose estimation system based on near-infrared spectroscopy and pulse-echo ultrasound. Diabetes mellitus has become a worldwide issue, affecting patients of wide age ranges. The invasive blood glucose monitoring method is uncomfortable for patients and inconvenient for long-term usage. To address this problem, we combined two technologies: namely the Pulse-Echo Ultrasound (PEU) and the Near-Infrared Spectroscopy (NIRS) to measure blood glucose levels noninvasively. The technique was tested through in-vitro and in-vivo experiments, and two modeling techniques were developed to estimate glucose levels. The results of this study are presented in Chapter 1. As food sweetness also plays an important role in glucose control, we developed a portable ultrasound system for detecting food sweetness based on chewing dynamics. The detector was placed under the chin to quantify tongue movement, whose correlation with food sweetness was investigated through different data processing techniques. Our results indicate that there is a positive correlation between food sweetness and tongue movement. This study is presented in Chapter 2. The last biosensing study focuses on cancer imaging. Using MnO2 as the contrast agent, we established a switchable photoacoustic imaging technique for dynamic imaging of glutathione (GSH), which plays a crucial role in cancer progression. Our imaging approach was tested both in vitro and in vivo, and the experimental results are presented in Chapter 3. Biometric investigations mainly utilized photoacoustic technology. In these studies, we optimized light delivery and acoustic detection schemes for high-quality imaging of vascular structures, which can be used for personnel identification and liveness detection. To give an overview of various linear-array-based photoacoustic imaging techniques, in Chapter 4, we reviewed current developments in the field and highlighted our co-planar light illumination and acoustic detection approach. In Chapter 5, we developed a system for 3D finger vessel imaging and biometric identification. The system contains both the hardware for data acquisition and software for feature extraction and matching. Results from 36 subjects clearly demonstrated the potential of our imaging approach. Chapter 6 concludes this dissertation with an overview of future directions. Given the promising results from our investigations, we believe that optical, ultrasound, and photoacoustic technologies have enormous potential in the field of bio-sensing and biometrics.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/86639"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["acoustics","optics"],"dc:title":["Development of Photoacoustic and Related Optical – Acoustic Techniques for Bio-sensing and Biometrics"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:32Z"}