S
Stephen A. Boppart
Researcher at University of Illinois at Urbana–Champaign
Publications - 684
Citations - 33772
Stephen A. Boppart is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Optical coherence tomography & Laser. The author has an hindex of 90, co-authored 631 publications receiving 31497 citations. Previous affiliations of Stephen A. Boppart include Harvard University & Boston University.
Papers
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Journal ArticleDOI
Multimodal Handheld Probe for Characterizing Otitis Media — Integrating Raman Spectroscopy and Optical Coherence Tomography
Guillermo L. Monroy,Seán Fitzgerald,Andrea K. Locke,Jungeun Won,Darold R. Spillman,Alexander Ho,Farzana Zaki,Honggu Choi,Eric J. Chaney,Jay A. Werkhaven,Kevin M. Mason,Anita Mahadevan-Jansen,Stephen A. Boppart +12 more
TL;DR: In this paper, in vivo RS scans from pediatric clinical human subjects presenting with OM were evaluated in parallel with RS-OCT data of physiologically relevant in vitro ear models, and component-level characterization of a healthy tympanic membrane and malleus bone, as well as OM-related middle ear fluid, identified the optimal position within the ear for RS- OCT data collection.
Journal ArticleDOI
Automated classification of otitis media with OCT: augmenting pediatric image datasets with gold-standard animal model data.
Guillermo L. Monroy,Jungeun Won,Jindou Shi,Malcolm C. Hill,Ryan G. Porter,Michael A. Novak,Wenzhou Hong,Pawjai Khampang,Joseph E. Kerschner,Darold R. Spillman,Stephen A. Boppart +10 more
TL;DR: The use of OCT data from the chinchilla, the gold-standard OM model for the human disease, is used to supplement a human image database to produce diagnostically relevant conclusions in a machine learning model.
Patent
Real-Time Biomechanical Dosimetry using Optical Coherence Elastography
TL;DR: In this article, the phase and amplitude of response of the tissue relative to the mechanical excitation are derived based on the phase of response, allowing for adjustment or termination of the therapeutic intervention.
Journal ArticleDOI
Development of a Smartphone-Based Skin Simulation Model for Medical Education.
TL;DR: A smartphone-based skin lesion visualization app with a simulated skin elastomer that has the potential to advance the educational experience by giving students the ability to see, touch, and feel pragmatic skin textures and lesions.