CN

Zhenyue Chen

Supervisor of Doctorate Candidates

Supervisor of Master's Candidates

Administrative Position: Professor

Education Level: Doctor′s Degree graduated

Degree: Doctor of Engineering

Alma Mater: Beijing Institute of Technology

Discipline: Optics
Biomedical Engineering

Achievements of The Thesis

Multimodal optoacoustic imaging: methods and contrast materials

Release time:2024-10-18
Hits:

Impact Factor:60.615

DOI number:10.1039/d3cs00565h

Journal:Chemical Society reviews

Key Words:Photoacoustic Techniques/methods Contrast Media/chemistry Humans Animals Multimodal Imaging/methods Magnetic Resonance Imaging/methods

Abstract:Optoacoustic (OA) imaging offers powerful capabilities for interrogating biological tissues with rich optical absorption contrast while maintaining high spatial resolution for deep tissue observations. The spectrally distinct absorption of visible and near-infrared photons by endogenous tissue chromophores facilitates extraction of diverse anatomic, functional, molecular, and metabolic information from living tissues across various scales, from organelles and cells to whole organs and organisms. The primarily blood-related contrast and limited penetration depth of OA imaging have fostered the development of multimodal approaches to fully exploit the unique advantages and complementarity of the method. We review the recent hybridization efforts, including multimodal combinations of OA with ultrasound, fluorescence, optical coherence tomography, Raman scattering microscopy and magnetic resonance imaging as well as ionizing methods, such as X-ray computed tomography, single-photon-emission computed tomography and positron emission tomography. Considering that most molecules absorb light across a broad range of the electromagnetic spectrum, the OA interrogations can be extended to a large number of exogenously administered small molecules, particulate agents, and genetically encoded labels. This unique property further makes contrast moieties used in other imaging modalities amenable for OA sensing.

Co-author:Dean-Ben, X L,Tang, L,Zhou, Q,Gezginer, I

First Author:Chen, Z

Indexed by:Article

Correspondence Author:Razansky, D

Volume:53

Issue:12

Page Number:6068-6099

ISSN No.:1460-4744 (Electronic); 0306-0012 (Print); 0306-00

Translation or Not:no

Date of Publication:2024-06-17

Included Journals:SCI