A large field-of-view, single-cell-resolution two- and three-photon microscope for deep and wide imaging

被引:2
|
作者
Mok, Aaron T. [1 ,2 ]
Wang, Tianyu [3 ]
Zhao, Shitong [1 ]
Kolkman, Kristine E. [4 ]
Wu, Danni [5 ]
Ouzounov, Dimitre G. [1 ]
Seo, Changwoo [6 ]
Wu, Chunyan [7 ]
Fetcho, Joseph R. [4 ]
Xu, Chris [1 ]
机构
[1] Cornell Univ, Sch Appl & Engn Phys, Ithaca, NY 14850 USA
[2] Cornell Univ, Meining Sch Biomed Engn, Ithaca, NY 14850 USA
[3] Boston Univ, Dept Elect & Comp Engn, Boston, MA 02215 USA
[4] Cornell Univ, Dept Neurobiol & Behav, Ithaca, NY USA
[5] Harvard Univ, Harvard TH Chan Sch Publ Hlth, Cambridge, MA USA
[6] Harvard Univ, Dept Mol & Cellular Biol, Cambridge, MA USA
[7] MIT, McGovern Inst Brain Res, Cambridge, MA USA
来源
ELIGHT | 2024年 / 4卷 / 01期
基金
美国国家科学基金会;
关键词
Three-photon microscopy; Two-photon microscopy; Large field of view; Brain imaging; DEEPscope;
D O I
10.1186/s43593-024-00076-4
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In vivo imaging of large-scale neuronal activity plays a pivotal role in unraveling the function of the brain's circuitry. Multiphoton microscopy, a powerful tool for deep-tissue imaging, has received sustained interest in advancing its speed, field of view and imaging depth. However, to avoid thermal damage in scattering biological tissue, field of view decreases exponentially as imaging depth increases. We present a suite of innovations to optimize three-photon microscopy for large field-of-view imaging at depths unreachable by two-photon microscopy. These techniques enable us to image neuronal activities of transgenic animals expressing protein calcium sensors in a similar to 3.5-mm diameter field-of-view with single-cell resolution in the deepest cortical layer of mouse brains. We further demonstrate simultaneous large field-of-view two-photon and three-photon imaging, subcortical imaging in the mouse brain, and whole-brain imaging in adult zebrafish. The demonstrated techniques can be integrated into typical multiphoton microscopes to enlarge field of view for system-level neural circuit research.
引用
收藏
页数:14
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