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Photoacoustic Tomography of Neural Systems

Li, Lei and Yao, Junjie and Wang, Lihong V. (2020) Photoacoustic Tomography of Neural Systems. In: Neural Engineering. Springer International Publishing , Cham, pp. 349-378. ISBN 978-3-030-43394-9. https://resolver.caltech.edu/CaltechAUTHORS:20210125-100019333

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Abstract

Neuroscience has become one of the most exciting contemporary research areas with major breakthroughs expected in the coming decades. Modern imaging techniques have enabled scientific understanding of the neural system by revealing anatomical, functional, metabolic, and molecular information about the brain. Among these techniques, photoacoustic tomography (PAT), drawing more and more attention, is playing an increasingly important role in brain studies, thanks to its rich optical absorption contrast, high spatiotemporal resolution, and deep penetration. More importantly, PAT’s unique scalability empowers neuroscientists to examine the brain at multiple spatial scales using the same contrast mechanism, bridging microscopic insights to macroscopic observations of the brain. In this chapter, we review the principles of PAT, present the major implementations, and summarize the representative neuroscience applications. We also discuss challenges in translating PAT to human brain imaging and envision its potential promise.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/978-3-030-43395-6_12DOIArticle
ORCID:
AuthorORCID
Li, Lei0000-0001-6164-2646
Wang, Lihong V.0000-0001-9783-4383
Additional Information:© Springer Nature Switzerland AG 2020. First Online: 22 September 2020.
Subject Keywords:Brain; Neuroimaging; Neural activities; Photoacoustic tomography; Multiscale imaging; Whole brain imaging; Functional imaging; Optical contrasts
Record Number:CaltechAUTHORS:20210125-100019333
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210125-100019333
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107706
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:26 Jan 2021 20:11
Last Modified:26 Jan 2021 20:11

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