Stephen Boppart

Learn More
Protein microspheres have been used in the fields of biomedical imaging and drug delivery, but surface modification for cell targeting has been problematic. We have for the first time used an electrostatic adhesion approach to adhere arginine-glutamic acid-aspartic acid (RGD) containing peptides to the surface of protein microspheres for the purpose of(More)
We present a new interferometric technique for measuring Coherent Anti-Stokes Raman Scattering (CARS) and Second Harmonic Generation (SHG) signals. Heterodyne detection is employed to increase the sensitivity in both CARS and SHG signal detection, which can also be extended to different coherent processes. The exploitation of the mentioned optical(More)
In spectroscopic optical coherence tomography, it is important and useful to separately estimate the absorption and the scattering properties of tissue. In this paper, we propose a least-squares fitting algorithm to separate absorption and scattering profiles when near-infrared absorbing dyes are used. The algorithm utilizes the broadband Ti:sapphire laser(More)
We present the development and use of a real-time digital signal processing (DSP)-based optical coherence tomography (OCT) and Doppler OCT system. Images of microstructure and transient fluid-flow profiles are acquired using the DSP architecture for real-time processing of computationally intensive calculations. This acquisition system is readily(More)
We present a technique for maintaining phase stability in a three-dimensional optical coherence tomography system. When determining the inverse scattering solution, phase stable measurements are required to ensure proper object reconstruction. The proposed method uses a reference object placed above the specimen to facilitate the retrieval of accurate(More)
We present a novel scheme for blind suppression of noise from a sequence of optical coherence tomography (OCT) images, such as those collected on a real-time OCT imaging system. In contrast to virtually all existing approaches to OCT denoising, our technique is specifically aimed at collections of images and is able to exploit the correlations among those(More)
Optical coherence tomography (OCT) is an optical ranging technique analogous to radar - detection of back-scattered light produces a signal that is temporally localized at times-of-flight corresponding to the location of scatterers in the object. However the interferometric collection technique used in OCT allows, in principle, the coherent collection of(More)
Resolution in optical coherence tomography is often degraded due to sidelobes of the point response. Frequently, the spectrum of the low-coherence source is unable to be changed to reduce sidelobes. We present a method that derives a space-invariant linear post processing digital filter that reduces the sidelobes in the reconstructed image while minimizing(More)
Spectroscopic OCT improves upon the conventional OCT system by processing the entire detected interference signal and extracting spectral information. We implement it as a real-time process using FPGAlDSP based processing hardware. We propose an algorithm based on the Morlet wavelet transform that can be approximated using our existing OCT system and(More)
We demonstrate electrically-tunable femtosecond Cherenkov fiber laser output at the visible range. Using an all-fiber, self-starting femtosecond Yb-doped fiber laser as the pump source and nonlinear photonic crystal fiber link as the wave-conversion medium, ultrafast, milliwatt-level, tunable and spectral isolated Cherenkov radiation at visible wavelengths(More)