Dynamic super-resolution structured illumination imaging in the living brain
Dynamic super-resolution structured illumination imaging in the living brain
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DOI：
10.1073/pnas.1819965116
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发表时间：
2019-05-07
影响因子：
11.1
通讯作者：
Ji, Na
中科院分区：
文献类型：
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作者：
Turcottea, Raphael;Liang, Yajie;Ji, Na
大脑中的细胞是扩展网络的组成部分。因此，为了理解生理背景下的神经生物学过程，有必要在体内研究它们。超分辨率显微镜具有超过衍射极限的空间分辨率，因此有望提供传统显微镜无法获得的结构和功能见解。然而，要将其应用于体内脑成像，我们必须解决在不断运动的光学异质性组织中进行3D成像的挑战。我们优化了图像采集和重建以对抗样品运动，并应用自适应光学来校正体内超分辨率结构照明显微镜（SIM）中样品引起的光学像差。我们对活斑马鱼幼虫和小鼠的大脑进行了成像，并在纳米级分辨率下观察了树突和树突棘的动态。
Cells in the brain act as components of extended networks. Therefore, to understand neurobiological processes in a physiological context, it is essential to study them in vivo. Super-resolution microscopy has spatial resolution beyond the diffraction limit, thus promising to provide structural and functional insights that are not accessible with conventional microscopy. However, to apply it to in vivo brain imaging, we must address the challenges of 3D imaging in an optically heterogeneous tissue that is constantly in motion. We optimized image acquisition and reconstruction to combat sample motion and applied adaptive optics to correcting sample-induced optical aberrations in superresolution structured illumination microscopy (SIM) in vivo. We imaged the brains of live zebrafish larvae and mice and observed the dynamics of dendrites and dendritic spines at nanoscale resolution.