Video-rate imaging of biological dynamics at centimetre scale and micrometre resolution

• Published in: Nature photonics Vol. 13; no. 11; pp. 809 - 816
• Main Authors: Fan, Jingtao, Suo, Jinli, Wu, Jiamin, Xie, Hao, Shen, Yibing, Chen, Feng, Wang, Guijin, Cao, Liangcai, Jin, Guofan, He, Quansheng, Li, Tianfu, Luan, Guoming, Kong, Lingjie, Zheng, Zhenrong, Dai, Qionghai
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group 01.11.2019
• Subjects: Dynamic structural analysis; Field of view; Image resolution; Microscopes; Neuroimaging; Spatial discrimination; Spatial resolution; Structure-function relationships
• ISSN: 1749-4885; 1749-4893
• DOI: 10.1038/s41566-019-0474-7

Large-scale imaging of biological dynamics with high spatiotemporal resolution is indispensable to system biology studies. However, conventional microscopes have an inherent compromise between the achievable field of view and spatial resolution due to the space–bandwidth product theorem. In addition, a further challenge is the ability to handle the enormous amount of data generated by a large-scale imaging platform. Here, we break these bottlenecks by proposing the use of a flat–curved–flat imaging strategy, in which the sample plane is magnified onto a large spherical image surface and then seamlessly conjugated to multiple planar sensors. Our real-time, ultra-large-scale, high-resolution (RUSH) imaging platform operates with a 10 × 12 mm2 field of view, a uniform resolution of ~1.20 μm after deconvolution and a data throughput of 5.1 gigapixels per second. We use the RUSH platform to perform video-rate, gigapixel imaging of biological dynamics at centimetre scale and micrometre resolution, including brain-wide structural imaging and functional imaging in awake, behaving mice.