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Proceedings Paper

Adaptive optics enables fast widefield imaging of neuronal structure and function with optical sectioning in vivo (Conference Presentation)
Author(s): Ziwei Li; Qinrong Zhang; Shih-Wei Chou; Zachary Newman; Raphael Turcotte; Ryan Natan; Qionghai Dai; Ehud Y. Isacoff; Na Ji

Paper Abstract

To visualize neuronal structure and function in the physiological context, optical microscopy that is non-invasive and capable of resolving sub-cellular structures has become the method of choice. Structured illumination microscopy (SIM) is a widefield fluorescence imaging technique that optically sections 3D samples, but its applications have been usually limited to in vitro samples. To apply SIM to in vivo imaging, we modified optical-sectioning SIM reconstruction algorithm and incorporated adaptive optics. We demonstrated fast, high-resolution in vivo imaging with optical sectioning for structural and functional interrogations of the brain in vivo.

Paper Details

Date Published: 11 March 2020
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Proc. SPIE 11248, Adaptive Optics and Wavefront Control for Biological Systems VI, 1124802 (11 March 2020);
Show Author Affiliations
Ziwei Li, Univ. of California, Berkeley (United States)
Tsinghua Univ. (China)
Qinrong Zhang, Univ. of California, Berkeley (United States)
Shih-Wei Chou, Univ. of California, Berkeley (United States)
Zachary Newman, Univ. of California, Berkeley (United States)
Raphael Turcotte, Univ. of California, Berkeley (United States)
Ryan Natan, Univ. of California, Berkeley (United States)
Qionghai Dai, Tsinghua Univ. (China)
Ehud Y. Isacoff, Univ. of California, Berkeley (United States)
Helen Wills Neuroscience Institute, Univ. of California, Berkeley (United States)
Bioscience Division, Lawrence Berkeley National Lab. (United States)
Na Ji, Univ. of California, Berkeley (United States)
(United States)
Helen Wills Neuroscience Institute, Univ. of California, Berkeley (United States)


Published in SPIE Proceedings Vol. 11248:
Adaptive Optics and Wavefront Control for Biological Systems VI
Thomas G. Bifano; Sylvain Gigan; Na Ji, Editor(s)

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