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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.

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Method and apparatus for OCT-based viscometry

TL;DR: In this paper, the authors derived a cross-correlation function of at least one of amplitude, phase and intensity of a scattered optical field for a plurality of depths relative to the specified surface.
Journal ArticleDOI

Nonlinear optical imaging by detection with optical parametric amplification

TL;DR: In this article , a PPLN-based optical parametric amplification (OPA) system was used to amplify the emitted imaging signal from second harmonic generation and coherent anti-Stokes Raman scattering (CARS) microscopy imaging, and the amplified optical signal was strong enough to be detected by a biased photodiode under ordinary room light conditions.
Proceedings ArticleDOI

Filtering and unwrapping doppler optical coherence tomography velocity maps

TL;DR: In this article, two computational methods for filtering and unwrapping Doppler optical coherence tomography velocity maps are described, which enable an extended measurement range of fluid velocity.
Journal ArticleDOI

Design of Matched Optical Pulses for Coherent Raman Imaging

TL;DR: Coherent anti-Stokes Raman techniques are increasing the utility of Raman scattering for chemical and biological diagnostics as discussed by the authors, and they have been shown to be effective in many applications.

Compact simultaneous label-free autofluorescence multi-harmonic (SLAM) microscopy for user-friendly photodamage-monitored imaging

TL;DR: In this paper , a platform of simultaneous label-free autofluorescence multiharmonic (SLAM) microscopy, featuring 5-channel multimodal imaging, inline photodamage monitoring, and pulse repetition-rate tuning, is presented.