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Parsin Haji Reza

Researcher at University of Waterloo

Publications -  59
Citations -  495

Parsin Haji Reza is an academic researcher from University of Waterloo. The author has contributed to research in topics: Microscopy & Computer science. The author has an hindex of 9, co-authored 37 publications receiving 283 citations. Previous affiliations of Parsin Haji Reza include University of Alberta.

Papers
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Journal ArticleDOI

Deep non-contact photoacoustic initial pressure imaging

TL;DR: Deep photoacoustic remote sensing (dPARS) as discussed by the authors uses visible pulsed excitation wavelengths to produce large initial pressure-induced refractive index modulations in absorbing targets, which are detected as back-reflected intensity modulations from a deep-penetrating interrogation beam.
Patent

Photoacoustic remote sensing (pars)

TL;DR: A photoacoustic remote sensing system (PARS) for imaging a subsurface structure in a sample has an excitation beam configured to generate ultrasonic signals in the sample, an interrogation beam incident on the sample at the excitation location, a portion of the interrogation beam returning from the sample that is indicative of the generated ultrasonic signal as discussed by the authors.
Journal ArticleDOI

Towards non-contact photoacoustic imaging [review].

TL;DR: This paper presents a brief overview of current non-contact photoacoustic detection techniques with an emphasis on all-optical detection methods and their associated physical mechanisms.
Journal ArticleDOI

All-optical Reflection-mode Microscopic Histology of Unstained Human Tissues.

TL;DR: Here, the first microscopy capable of non-contact label-free visualization of human cellular morphology in a reflection-mode apparatus is presented, and clinically useful histologic images of human tissue samples including breast cancer, tonsil, gastrointestinal, and pancreatic tissue images were formed.
Journal ArticleDOI

Chromophore selective multi-wavelength photoacoustic remote sensing of unstained human tissues.

TL;DR: A non-contact multi-wavelength reflection-mode, photoacoustic remote sensing (PARS) microscope demonstrating chromophore selective contrast in human tissues is developed, providing a critical step towards a virtual histology tool to provide intraoperative histology-like information in living tissue.