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化学分段荧光断层成像:高通量、高对比度、多色、亚细胞分辨率的全脑成像。

Chemical sectioning fluorescence tomography: high-throughput, high-contrast, multicolor, whole-brain imaging at subcellular resolution.

机构信息

Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.

Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

出版信息

Cell Rep. 2021 Feb 2;34(5):108709. doi: 10.1016/j.celrep.2021.108709.

Abstract

A thorough neuroanatomical study of the brain architecture is crucial for understanding its cellular compositions, connections, and working mechanisms. However, the fine- and multiscale features of neuron structures make it challenging for microscopic imaging, as it requires high contrast and high throughput simultaneously. Here, we propose chemical sectioning fluorescence tomography (CSFT) to solve this problem. By chemically switching OFF/ON the fluorescent state of the labeled proteins (FPs), we light only the top layer as thin as submicron for imaging without background interference. Combined with the wide-field fluorescence micro-optical sectioning tomography (fMOST) system, we have shown multicolor CSFT imaging. We also demonstrate mouse whole-brain imaging at the subcellular resolution, as well as the power for quantitative acquisition of synaptic-connection-related pyramidal dendritic spines and axon boutons on the brain-wide scale at the complete single-neuron level. We believe that the CSFT method would greatly facilitate our understanding of the brain-wide neuron networks.

摘要

对大脑结构进行全面的神经解剖学研究对于理解其细胞组成、连接和工作机制至关重要。然而,神经元结构的精细和多尺度特征使得微观成像具有挑战性,因为它需要同时具有高对比度和高通量。在这里,我们提出化学切片荧光层析成像(CSFT)来解决这个问题。通过化学方式切换标记蛋白(FP)的荧光状态,我们仅点亮最顶层的亚微米薄层进行成像,没有背景干扰。结合宽场荧光微光学切片层析成像(fMOST)系统,我们展示了多色 CSFT 成像。我们还演示了亚细胞分辨率的小鼠全脑成像,以及在完整的单细胞水平上对全脑范围内与突触连接相关的锥体树突棘和轴突末梢进行定量获取的能力。我们相信 CSFT 方法将极大地促进我们对全脑神经元网络的理解。

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