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Chin. Opt. Lett.
 Home  List of Issues    Issue 09 , Vol. 15 , 2017    10.3788/COL201715.090003


Imaging the structure and organization of mouse cerebellum and brain stem with second harmonic generation microscopy
Xiuli Liu1;2, Daozhu Hua1;2, Ling Fu1;2, and Shaoqun Zeng1;2
1 Britton Chance Center for Biomedical Photonics, School of Engineering Sciences, Wuhan National Laboratory for Optoelectronics–[Huazhong University of Science and Technology], Wuhan 430074, China
2 MoE Key Laboratory for Biomedical Photonics, Department of Biomedical Engineering, [Huazhong University of Science and Technology], Wuhan 430074, China

Chin. Opt. Lett., 2017, 15(09): pp.090003

DOI:10.3788/COL201715.090003
Topic:General
Keywords(OCIS Code): 170.3880  180.4315  190.4180  

Abstract
To visualize the structure and organization of the brain is a fundamental requirement in the research of neuroscience. Here, combining with two-photon excitation fluorescence microscopy and transgenetic mouse GAD67, we demonstrate a custom-built second harmonic generation (SHG) microscope to discriminate brain layers and sub regions in the cerebellum and brain stem slices with cellular resolution. In particular, the cell densities of neurons in different brain layers are extracted due to the cell soma appearing as dark shadow on an SHG image. Further, the axon initial segments of the Purkinje cell are easily recognized without labeling, which would be useful for guiding micropipettes for electrophysiology.

Copyright: © 2003-2012 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Received:2017/5/4
Accepted:2017/6/16
Posted online:2017/7/11

Get Citation: Xiuli Liu, Daozhu Hua, Ling Fu, and Shaoqun Zeng, "Imaging the structure and organization of mouse cerebellum and brain stem with second harmonic generation microscopy," Chin. Opt. Lett. 15(09), 090003(2017)

Note: This work was supported by the National Key Research and Development Program of China (No. 2016YFA0201403), the National Natural Science Foundation of China (No. 61522502), and the Science Fund for Creative Research Group of China (No. 61421064).



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