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Proceedings Paper

A rapid and reversible skull optical clearing method for monitoring cortical blood flow
Author(s): Chao Zhang; Yanjie Zhao; Rui Shi; Dan Zhu
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Paper Abstract

In vivo cortex optical imaging is of great important for revealing both structural and functional architecture of brain with high temporal-spatial resolution. To reduce the limitation of turbid skull, researchers had to establish various skull windows or directly expose cortex through craniotomy. Here we developed a skull optical clearing method to make skull transparent. Laser speckle contrast imaging technique was used to monitor the cortical blood flow after topical treatment with the optical clearing agents. The results indicated that the image contrast increased gradually, and then maintained at a high level after 15 min for adult mice, which made the image quality and resolution of micro-vessels nearly approximate to those of exposed cortex. Both the cortical blood flow velocity almost kept constant after skull became transparent. Besides, the treatment of physiological saline on the skull could make skull return to the initial state again and the skull could become transparent again when SOCS retreated it. Thus, we could conclude that the skull optical clearing method was rapid, valid, reversible and safe, which provided us available approach for performing the cortical structural and functional imaging at high temporal-spatial resolution.

Paper Details

Date Published: 17 March 2016
PDF: 6 pages
Proc. SPIE 9707, Dynamics and Fluctuations in Biomedical Photonics XIII, 970717 (17 March 2016); doi: 10.1117/12.2210889
Show Author Affiliations
Chao Zhang, Huazhong Univ. of Science and Technology (China)
Yanjie Zhao, Huazhong Univ. of Science and Technology (China)
Rui Shi, Huazhong Univ. of Science and Technology (China)
Dan Zhu, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9707:
Dynamics and Fluctuations in Biomedical Photonics XIII
Valery V. Tuchin; Kirill V. Larin; Martin J. Leahy; Ruikang K. Wang, Editor(s)

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