Li, Lei and Zhu, Liren and Ma, Cheng and Lin, Li and Yao, Junjie and Wang, Lidai and Maslov, Konstantin and Zhang, Ruiying and Chen, Wanyi and Shi, Junhui and Wang, Lihong V. (2017) Single-impulse panoramic photoacoustic computed tomography of small-animal whole-body dynamics at high spatiotemporal resolution. Nature Biomedical Engineering, 1 (5). Art. No. 0071. ISSN 2157-846X. PMCID PMC5766044. doi:10.1038/s41551-017-0071. https://resolver.caltech.edu/CaltechAUTHORS:20170515-154135422
Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20170515-154135422
Abstract
Imaging of small animals has played an indispensable role in preclinical research by providing high-dimensional physiological, pathological and phenotypic insights with clinical relevance. Yet, pure optical imaging suffers from either shallow penetration (up to ~1–2 mm) or a poor depth-to-resolution ratio (~3), and non-optical techniques for whole-body imaging of small animals lack either spatiotemporal resolution or functional contrast. Here, we demonstrate that stand-alone single-impulse panoramic photoacoustic computed tomography (SIP-PACT) mitigates these limitations by combining high spatiotemporal resolution (125 μm in-plane resolution, 50 μs per frame data acquisition and 50 Hz frame rate), deep penetration (48 mm cross-sectional width in vivo), anatomical, dynamical and functional contrasts, and full-view fidelity. Using SIP-PACT, we imaged in vivo whole-body dynamics of small animals in real time and obtained clear sub-organ anatomical and functional details. We tracked unlabelled circulating melanoma cells and imaged the vasculature and functional connectivity of whole rat brains. SIP-PACT holds great potential for both preclinical imaging and clinical translation.
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Additional Information: | © 2017 Macmillan Publishers Limited, part of Springer Nature. Received: 30 July 2016; Accepted: 30 March 2017; Published online: 10 May 2017. We thank Y. He, C. Li, Y. Li and J. Xia for their technical support, and J. Ballard for close reading of the manuscript. This work was sponsored by the United States National Institutes of Health (NIH) grants DP1 EB016986 (NIH Director’s Pioneer Award), R01 CA186567 (NIH Director’s Transformative Research Award), U01 NS090579 (BRAIN Initiative), U01 NS099717 (BRAIN Initiative), R01 EB016963 and S10 RR026922. Author Contributions: L. Li and L.V.W. conceived and designed the study. L. Li and L.Z. constructed the hardware system. L. Li, L.Z. and C.M. developed the software system and the reconstruction algorithm. L.W. and J.S. constructed the control program. K.M. and W.C. designed the preamplifiers. L. Li, C.M. and L. Lin performed the experiments. R.Z. cultured the B16 cells. L. Li, L.Z., C.M. and J.Y. analysed the data. L.V.W. supervised the study. All authors contributed to the writing of the manuscript. Competing interests: L.V.W. and K.M. have a financial interest in Microphotoacoustics, Inc.; however, Microphotoacoustics, Inc. did not support this work. The other authors declare no competing financial interests. | ||||||||||||||||
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Issue or Number: | 5 | ||||||||||||||||
PubMed Central ID: | PMC5766044 | ||||||||||||||||
DOI: | 10.1038/s41551-017-0071 | ||||||||||||||||
Record Number: | CaltechAUTHORS:20170515-154135422 | ||||||||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20170515-154135422 | ||||||||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||||||
ID Code: | 77470 | ||||||||||||||||
Collection: | CaltechAUTHORS | ||||||||||||||||
Deposited By: | Tony Diaz | ||||||||||||||||
Deposited On: | 15 May 2017 23:22 | ||||||||||||||||
Last Modified: | 28 Mar 2022 21:55 |
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