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用于哺乳动物大脑中髓鞘纤维无标记成像的自发荧光增强。

Autofluorescence enhancement for label-free imaging of myelinated fibers in mammalian brains.

机构信息

European Laboratory for Non-Linear Spectroscopy, University of Florence, Florence, Italy.

Department of Biology, University of Florence, Florence, Italy.

出版信息

Sci Rep. 2021 Apr 13;11(1):8038. doi: 10.1038/s41598-021-86092-7.

Abstract

Analyzing the structure of neuronal fibers with single axon resolution in large volumes is a challenge in connectomics. Different technologies try to address this goal; however, they are limited either by the ineffective labeling of the fibers or in the achievable resolution. The possibility of discriminating between different adjacent myelinated axons gives the opportunity of providing more information about the fiber composition and architecture within a specific area. Here, we propose MAGIC (Myelin Autofluorescence imaging by Glycerol Induced Contrast enhancement), a tissue preparation method to perform label-free fluorescence imaging of myelinated fibers that is user friendly and easy to handle. We exploit the high axial and radial resolution of two-photon fluorescence microscopy (TPFM) optical sectioning to decipher the mixture of various fiber orientations within the sample of interest. We demonstrate its broad applicability by performing mesoscopic reconstruction at a sub-micron resolution of mouse, rat, monkey, and human brain samples and by quantifying the different fiber organization in control and Reeler mouse's hippocampal sections. Our study provides a novel method for 3D label-free imaging of nerve fibers in fixed samples at high resolution, below micrometer level, that overcomes the limitation related to the myelinated axons exogenous labeling, improving the possibility of analyzing brain connectivity.

摘要

在连接组学中,以单轴突分辨率分析神经元纤维的结构是一个挑战。不同的技术试图解决这个目标;然而,它们要么受到纤维标记效果不佳的限制,要么受到可实现分辨率的限制。区分不同相邻有髓轴突的可能性为提供特定区域内纤维组成和结构的更多信息提供了机会。在这里,我们提出了 MAGIC(通过甘油诱导对比度增强的髓鞘自发荧光成像),这是一种组织制备方法,可对髓鞘纤维进行无标记荧光成像,操作简单易用。我们利用双光子荧光显微镜(TPFM)光学切片的高轴向和径向分辨率来解析感兴趣样本中各种纤维方向的混合物。我们通过对小鼠、大鼠、猴子和人类大脑样本进行亚微米分辨率的介观重建,并对控制和 Reeler 小鼠海马切片中的不同纤维组织进行定量,证明了其广泛的适用性。我们的研究提供了一种新的方法,用于在固定样本中以高分辨率(低于微米级)进行 3D 无标记神经纤维成像,克服了与髓鞘轴突外源性标记相关的限制,提高了分析大脑连接的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8283/8044204/06db2e37b186/41598_2021_86092_Fig1_HTML.jpg

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