henhaobio
Sign in

Light Science & ApplicationsNeurosciencePeer-reviewed journal article

Ultra-wide-field, deep, adaptive two-photon microscopy

Mengke Yang, Zhen-Qiao Zhou, Song Lang, H. Z. ZhengiD, Shuai CheniD, Tong Li, Eline Stas, Jess Yu, Long Zhang, Zhi Zhang, Volkan UzungiliD, Qinying LiuiD, Yu Huang, Jing LyuiD, Yimei LiiD, Hongbo JiaiD, Min LiiD, Xiaofeng LiiD, Jingwei Li, Yuguo TangiD, Yan Gong, Simon R. SchultziD

PDFDOIPreprint
Citations
7
FWCI
19.17
Field percentile
top 1%

Abstract

Observing the activity patterns of large neural populations throughout the brain is essential for understanding brain function. However, capturing neural interactions across widely distributed brain regions from both superficial and deep cortical layers remains challenging with existing microscopy technologies. Here, we introduce a state-of-the-art two-photon microscopy system, ULTRA, capable of single-cell resolution imaging across an ultra-large field of view (FOV) exceeding 50 mm{superscript 2}, enabling deep and very wide field in vivo imaging. To demonstrate its capabilities, we conducted a series of experiments under multiple imaging conditions, successfully visualizing brain structures and neuronal activities spanning a spatial range of over 7 mm from superficial layers to depths of up to 900 m, while covering a volume of 45.24 mm3 in the mouse brain. This versatile imaging platform overcomes traditional spatial constraints, providing a powerful tool for comprehensive exploration of neuronal circuitry over extensive spatial scales with cellular resolution.

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISMok '23Rahman '26She '25Stirman '16Kasaragod '20Sofroniew '16
80% semantic matchNeuroscience
Aaron T. Y. Mok, Tianyu Wang, Shitong Zhao+7 more·bioRxiv·Nov 14, 2023· 1 citations