Super-resolution imaging of fast morphological dynamics of neurons in behaving animals.

IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Nature Methods Pub Date : 2024-11-22 DOI:10.1038/s41592-024-02535-9
Yujie Zhang, Lu Bai, Xin Wang, Yuchen Zhao, Tianlei Zhang, Lichen Ye, Xufei Du, Zhe Zhang, Jiulin Du, Kai Wang
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Abstract

Neurons are best studied in their native states in which their functional and morphological dynamics support animals' natural behaviors. Super-resolution microscopy can potentially reveal these dynamics in higher details but has been challenging in behaving animals due to severe motion artifacts. Here we report multiplexed, line-scanning, structured illumination microscopy, which can tolerate motion of up to 50 μm s-1 while achieving 150-nm and 100-nm lateral resolutions in its linear and nonlinear forms, respectively. We continuously imaged the dynamics of spinules in dendritic spines and axonal boutons volumetrically over thousands of frames and tens of minutes in head-fixed mouse brains during sleep-wake cycles. Super-resolution imaging of axonal boutons revealed spinule dynamics on a scale of seconds. Simultaneous two-color imaging further enabled analyses of the spatial distributions of diverse PSD-95 clusters and opened up possibilities to study their correlations with the structural dynamics of dendrites in the brains of head-fixed awake mice.

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行为动物神经元快速形态动态的超分辨率成像。
神经元最好在其原生状态下进行研究,在这种状态下,神经元的功能和形态动态支持动物的自然行为。超分辨率显微镜有可能以更高的细节揭示这些动态,但由于运动伪影严重,在行为动物身上进行超分辨率显微镜研究具有挑战性。在这里,我们报告了多路复用、线扫描、结构照明显微镜技术,它可以容忍高达 50 μm s-1 的运动,同时在线性和非线性形式下分别达到 150 纳米和 100 纳米的横向分辨率。我们对固定在头部的小鼠大脑在睡眠-觉醒周期中树突棘和轴突突触的动态进行了数千帧和数十分钟的连续成像。轴突突触的超分辨率成像显示了以秒为单位的棘突动态。同时进行的双色成像进一步分析了各种 PSD-95 簇的空间分布,为研究它们与头固定清醒小鼠大脑树突结构动态的相关性提供了可能。
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来源期刊
Nature Methods
Nature Methods 生物-生化研究方法
CiteScore
58.70
自引率
1.70%
发文量
326
审稿时长
1 months
期刊介绍: Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.
期刊最新文献
CelloType: a unified model for segmentation and classification of tissue images. Super-resolution imaging of fast morphological dynamics of neurons in behaving animals. Accurate RNA 3D structure prediction using a language model-based deep learning approach. Large language modeling and deep learning shed light on RNA structure prediction. A benchmarked, high-efficiency prime editing platform for multiplexed dropout screening.
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