scispace - formally typeset
R

Roger J. Zemp

Researcher at University of Alberta

Publications -  248
Citations -  4040

Roger J. Zemp is an academic researcher from University of Alberta. The author has contributed to research in topics: Capacitive micromachined ultrasonic transducers & Microscopy. The author has an hindex of 32, co-authored 223 publications receiving 3451 citations. Previous affiliations of Roger J. Zemp include University of California, Davis & Washington University in St. Louis.

Papers
More filters
Journal ArticleDOI

Sparsity-based reconstruction for super-resolved limited-view photoacoustic computed tomography deep in a scattering medium.

TL;DR: Enhanced resolution images of wires at a depth of 8.5 mm in a tissue mimicking scattering medium are obtained using a 21 MHz transducer and the sparsity-based technique generated a cleaner image with a background signal level much lower than the roughly -18 dB background signallevel of DSB.
Journal ArticleDOI

Combined photoacoustic and oblique-incidence diffuse reflectance system for quantitative photoacoustic imaging in turbid media

TL;DR: An integrated OIR and photoacoustic imaging system is reported on and improved ability to quantitatively estimate optical properties of a turbid medium is demonstrated.
Journal ArticleDOI

Fabrication of Linear Array and Top-Orthogonal-to-Bottom Electrode CMUT Arrays With a Sacrificial Release Process

TL;DR: The microfabrication processes for sacrificial-release-based capacitive micromachined ultrasound transducer arrays are provided with an emphasis on top-orthogonal-to-bottom electrode 2-D arrays with significant promise for high-quality 3-D imaging with reduced wiring complexity compared with fully wired arrays.
Proceedings ArticleDOI

Multi-frequency CMUT arrays for imaging-therapy applications

TL;DR: In this paper, a multi-frequency Capacitive Micromachined Ultrasound Transducer (CMUT) array with interlaced low and high-frequency elements is investigated for novel imaging-therapy applications.
Journal ArticleDOI

Label-free lipid contrast imaging using non-contact near-infrared photoacoustic remote sensing microscopy

TL;DR: NIR-PARS offers a promising approach to image lipid-rich samples with a simplified workflow to achieve imaging contrast from lipids without the need for exogenous stains or labels.