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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Proceedings ArticleDOI
Cellular and neoplastic tissue imaging with optical coherence tomography
TL;DR: In vivo catheter/endoscope based imaging of the gastrointestinal and pulmonary tracts has been demonstrated in a rabbit model and the ability of OCT to image cellular morphology in vivo was evaluated, an animal model was used.
Proceedings ArticleDOI
Shielding effectiveness of femtosecond laser-induced plasmas in ultrapure water
TL;DR: In this article, the authors examined the efficiency of the pulse energy to plasm conversion as well as the shielding effectiveness for various pulse durations, and made comparisons of shielding effectiveness between all three time regimes.
Journal ArticleDOI
Real-time pixelwise phasor analysis for video-rate two-photon fluorescence lifetime imaging microscopy.
Janet E. Sorrells,Rishyashring R. Iyer,Lingxiao Yang,Andrew J. Bower,Darold R. Spillman,Eric J. Chaney,Haohua Tu,Stephen A. Boppart +7 more
TL;DR: A versatile two-photon FLIM setup capable of video-rate (up to 25 fps) imaging with graphics processing unit (GPU)-accelerated pixelwise phasor analysis displayed and saved simultaneously with acquisition and additionally enables the user to assess sample fluorescence lifetime in real-time.
Journal ArticleDOI
Two-photon microscope using a fiber-based approach for supercontinuum generation and light delivery to a small-footprint optical head
Youbo Zhao,Gopi Maguluri,R. Daniel Ferguson,Haohua Tu,Kush Paul,Stephen A. Boppart,Daniel A. Llano,Nicusor Iftimia +7 more
TL;DR: Preliminary testing of this imager on brain slices is presented, demonstrating a high signal-to-noise ratio and sub-cellular imaging capabilities to a depth of approximately 200 µm, and demonstrating the suitability of the technology for ex vivo and potentially in vivo cellular-level biomedical imaging applications.
Journal ArticleDOI
In vivo detection of endotracheal tube biofilms in intubated critical care patients using catheter-based optical coherence tomography.
Roshan Dsouza,Darold R. Spillman,Ronit Barkalifa,Guillermo L. Monroy,Eric J. Chaney,Karen White,Karen White,Stephen A. Boppart +7 more
TL;DR: OCT image‐based features may serve as biomarkers for direct in vivo detection of ETT biofilms and help drive investigation of new management strategies to reduce the incidence of VAP.