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25 - 30 January 2025
San Francisco, California, US
Conference 13325 > Paper 13325-12
Paper 13325-12

Label-free imaging of joint condyles with curved surfaces using nonlinear optical microscopy

29 January 2025 • 2:20 PM - 2:40 PM PST | Moscone Center, Room 301 (Level 3 South)

Abstract

Osteoarthritis (OA) causes structural and functional alterations in articular cartilage, which can be studied using label-free non-linear optical microscopy. However, this technique is limited by its small field of view (FOV). This becomes apparent when imaging curved surfaces such as cartilage covering joint condyles. To increase the effective imaging area, we propose a solution that involves measuring a three-dimensional surface profile of the sample using a deep learning-based method and aligning the sample surface to the scanning plane using a software-controlled goniometer platform. With this, we can increase the overall FOV and improve the efficiency of imaging studies of OA models.

Presenter

Clemson Univ. (United States), Medical Univ. of South Carolina (United States)
Tong Ye is currently an associate professor of Bioengineering at Clemson University. He received his Ph.D. in Optics from Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences (CAS). He previously worked in ultrafast spectroscopy and later started his imaging adventure while working with Dr. Warren S. Warren at the University of Pennsylvania (Radiology) and Princeton University (Chemistry) and later at Duke University. He served as the technical director of Neuroimaging Core in the Alabama Neuroscience Blueprint Core Center (NIH-funded) at the University of Alabama at Birmingham. In 2013, he started the Nano(-imaging) and Functional Imaging Laboratory with the Clemson-MUSC bioengineering program at Charleston, SC. His research interests include the development of high-resolution imaging tools for clinical and biological studies and gaining new knowledge of fundamental processes in maintaining homeostasis of the extracellular matrix.
Application tracks: AI/ML
Author
Clemson Univ. (United States)
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Clemson Univ. (United States)
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Clemson Univ. (United States)
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Clemson Univ. (United States)
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Hongming Fan
Clemson Univ. (United States)
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Clemson Univ. (United States)
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Clemson Univ. (United States), Medical Univ. of South Carolina (United States)
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Joseph Carson
College of Charleston (United States)
Presenter/Author
Clemson Univ. (United States), Medical Univ. of South Carolina (United States)