Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA 20147.
Department of Physics, University of California, Berkeley, CA 94720.
Proc Natl Acad Sci U S A. 2019 May 7;116(19):9586-9591. doi: 10.1073/pnas.1819965116. Epub 2019 Apr 26.
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 super-resolution 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.
大脑中的细胞作为扩展网络的组成部分。因此,要在生理环境下理解神经生物学过程,必须在体内对其进行研究。超分辨率显微镜具有超越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异质组织中进行 3D 成像的挑战。我们优化了图像采集和重建以对抗样本运动,并在体内超分辨率结构光照明显微镜 (SIM) 中应用自适应光学来校正样本引起的光学像差。我们对活体斑马鱼幼虫和小鼠的大脑进行了成像,并以纳米级分辨率观察了树突和树突棘的动力学。