The Biophotonics Seminar Series is held to showcase cutting-edge research in biophotonics. It provides an opportunity for students, faculty, and experts to come together and learn about the latest developments in the field. Presenters discuss their research, methods, and techniques, and how their findings may be used in various applications. The topics covered range from basic theory to advanced techniques and technology, as well as cross-disciplinary areas. Each seminar is followed by a question-and-answer session where attendees can ask questions to gain deeper insights into the subject matter. Through this series of seminars, we aim to promote collaboration between research groups, provide a platform for students and researchers to exchange ideas, and build connections. We are dedicated to advancing the field of biophotonics, and this Seminar Series is one way in which we do so.
Name | Affiliation | Title | Flyers |
---|---|---|---|
Professor and Vice-Chair in Department of Neurobiology at the University of Texas Medical Branch at Galveston | Label-free Multimodal imaging based on widefield fluorescence imaging and multiphoton autofluorescence microscopy: Potential for detection of oral epithelial neoplasia | Vargas Flyer.pdf | |
Professor of Bioengineering and Cecil H. and Ida Green Chair in Systems Biology Science at the University of Texas at Dallas | Hyperspectral Imaging for Cancer Detection and Image-Guided Surgery | ||
Professor and Lyda Hill Distinguished University Chair in Biomedical Engineering University of Texas Southwestern Medical Center | Lighting the Path to Cancer Detection and Therapy | ||
Research Fellow King’s College London | Massively Parallel Fluorescence Lifetime Imaging Microscopy to Investigate Cellular Dynamics | ||
Professor and Director Center for Global Women’s Health Technologies Robert W. Carr, Jr. Professor of Biomedical Engineering Duke University | A Technological Approach to Tackling Invisible Barriers to Cancer Progression and Death | ||
Executive Director Alfred E. Mann Institute for Biomedical Engineering University of Southern California | Technology Development: The Pull Model and Lessons Learned | ||
Associate Professor of Biomedical Engineering Director Microscopy & Imaging Center Texas A&M University | Optical Imaging Technologies for Detection of Pulmonary Tuberculosis | ||
Assistant Professor, Electrical and Computer Engineering, UC Davis | Optical Microscopy Principles and Applications in Brain Research | ||
Associate Professor, Biomedical Engineering, UC Davis | NIR Spectroscopy Principles and Applications in Brain Research | ||
Assistant Professor, Biochemistry and Molecular Medicine, UC Davis | Optical Molecular Probes and Optogenetics Principles and Applications in Brain Research | ||
Professor and Chair, Electrical and Computer Engineering, UC Davis | Advanced Technologies for imaging and Sensing of Faint Signals of Light, Chemicals and Bio-agents | ||
Assistant Professor, Biomedical Engineering, UC Davis | Raman Spectroscopy, SERS Principles; ERS Based Diagnostic Platform for Cancer Diagnostics | ||
Professor, Physical Chemistry, Leibniz-IPHT/FSU Jena Leibniz-IPHT | Linear and Non-linear Raman Spectroscopy Principles: Applications in Clinical Diagnostics (Infectious Diseases, Cancer Detection, etc.) | ||
Professor, Biomedical Engineering, UC Davis | Fluorescence Spectroscopy and Imaging Principles: Applications in Tissue Diagnostics (Cancer and Cardiovascular) | ||
Professor, Surgical Imaging and Biophotonics, Imperial College London | Multispectral Imaging, Ultrasound Mediated Optical Tomography, Structured Lighting, Light Sources in Endoscopy and Scattering Spectroscopy | ||
Head, Biophotonics, Tyndall National Institute; Professor, Physics, University College Cork | Optical Molecular Imaging in Tissue Diagnostics (5-ALA, etc) — Principles: Applications to Cancer Diagnostic and Therapy | ||
Associate Professor, Ophthalmology and Vision Science, UC Davis | Optical Coherence Topography (OCT) — Principles: Applications in Ophthalmology | ||
Professor, Biomedical Engineering, UC Davis | AI Principles and Applications in Biomedical Imaging |