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Xingde Li

Researcher at Johns Hopkins University

Publications -  291
Citations -  18785

Xingde Li is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Optical coherence tomography & Endomicroscopy. The author has an hindex of 60, co-authored 280 publications receiving 17610 citations. Previous affiliations of Xingde Li include Kennedy Krieger Institute & Institute for Systems Biology.

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Three-dimensional diffuse optical mammography with ultrasound localization in a human subject

TL;DR: An approach that combines clinical ultrasound and photon migration techniques to enhance the sensitivity and information content of diffuse optical tomography is described, showing superior tumor/background contrast for the latter in both absorption and scattering.
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Index Matching to Improve Optical Coherence Tomography Imaging Through Blood

TL;DR: The feasibility of index matching for improving OCT imaging through blood is demonstrated, and future studies are required to identify compounds for effective index matching in vivo.
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Fluorescent diffuse photon density waves in homogeneous and heterogeneous turbid media: analytic solutions and applications

TL;DR: In this article, analytic solutions for fluorescent diffuse photon density waves originating from fluorophores distributed in thick turbid media were derived for a homogeneous turbid medium containing a uniform distribution of fluorophore and for a system that is homogeneous except for the presence of a single spherical inhomogeneity.
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GPQuest: A Spectral Library Matching Algorithm for Site-Specific Assignment of Tandem Mass Spectra to Intact N-glycopeptides.

TL;DR: An algorithm, named GPQuest, is reported for site-specific identification of intact glycopeptides using higher-energy collisional dissociation (HCD) fragmentation of complex samples and spectral library matching gives the user the possibility of identifying novel or modified glycans on specific glycosites that might be missing from the predetermined glycan databases.
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Encapsulation and stabilization of indocyanine green within poly(styrene-alt-maleic anhydride) block-poly(styrene) micelles for near-infrared imaging.

TL;DR: This system has the potential to greatly improve near-infrared imaging in breast cancer detection by increasing the stability of ICG for formulation/administration, and by providing a means to target ICG to tumor tissue.