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
![]() |
Image (PNG)
- Supplemental Material
See Usage Policy. 118kB |
Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20210125-100019333
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: |
| ||||||
ORCID: |
| ||||||
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 | ||||||
DOI: | 10.1007/978-3-030-43395-6_12 | ||||||
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: | 16 Nov 2021 19:05 |
Repository Staff Only: item control page