Imaging peripheral nerve micro-anatomy with MUSE, 2D and 3D approaches.
Imaging peripheral nerve micro-anatomy with MUSE, 2D and 3D approaches.
复制标题
使用MUSE、2D和3D方法对周围神经显微解剖进行成像。
DOI：
10.1038/s41598-022-14166-1
复制
发表时间：
2022-06-17
影响因子：
4.6
通讯作者：
Wilson, David L.
中科院分区：
文献类型：
--
作者：
Kolluru, Chaitanya;Todd, Austin;Upadhye, Aniruddha R.;Liu, Yehe;Berezin, Mikhail Y.;Fereidouni, Farzad;Levenson, Richard M.;Wang, Yanming;Shoffstall, Andrew J.;Jenkins, Michael W.;Wilson, David L.
了解周围神经显微解剖有助于开发安全有效的神经调节装置。然而，目前在纤维水平上成像神经形态的方法要么很麻烦，需要大量的仪器，视野有限，要么分辨率/对比度有限。我们提出了基于MUSE（紫外光表面激发显微镜）成像的替代方法来研究周围神经形态，包括二维和三维。对于二维成像，固定的样品在传统的MUSE系统上成像，要么不加标签（通过自动荧光），要么用荧光染料染色。这种方法提供了一种简单而快速的技术，可以可视化沿神经长度的特定位置的有髓神经纤维，并测量纤维形态（例如，轴突直径和g比）。对于3D成像，开发了一种全贴装染色和MUSE块面成像方法，可用于表征周围神经微观解剖，并提高神经调节计算模型的准确性。给出了大鼠坐骨神经和人尸体胫骨神经的图像，说明了该方法在不同临床前模型中的适用性。
Understanding peripheral nerve micro-anatomy can assist in the development of safe and effective neuromodulation devices. However, current approaches for imaging nerve morphology at the fiber level are either cumbersome, require substantial instrumentation, have a limited volume of view, or are limited in resolution/contrast. We present alternative methods based on MUSE (Microscopy with Ultraviolet Surface Excitation) imaging to investigate peripheral nerve morphology, both in 2D and 3D. For 2D imaging, fixed samples are imaged on a conventional MUSE system either label free (via auto-fluorescence) or after staining with fluorescent dyes. This method provides a simple and rapid technique to visualize myelinated nerve fibers at specific locations along the length of the nerve and perform measurements of fiber morphology (e.g., axon diameter and g-ratio). For 3D imaging, a whole-mount staining and MUSE block-face imaging method is developed that can be used to characterize peripheral nerve micro-anatomy and improve the accuracy of computational models in neuromodulation. Images of rat sciatic and human cadaver tibial nerves are presented, illustrating the applicability of the method in different preclinical models.
登录
查看更多内容
DOI：
10.1152/ajplung.00329.2013
发表时间：
2014-02-01
影响因子：
4.9
作者：
Schneider, Jan Philipp;Ochs, Matthias
通讯作者：
Ochs, Matthias
DOI：
10.1073/pnas.2012533117
发表时间：
2020-12-29
影响因子：
11.1
作者：
Andersson M;Kjer HM;Rafael-Patino J;Pacureanu A;Pakkenberg B;Thiran JP;Ptito M;Bech M;Bjorholm Dahl A;Andersen Dahl V;Dyrby TB
通讯作者：
Dyrby TB
影响因子：
4.8
作者：
Bansaghi, Szava;Golenar, Tuende;Hajnoczky, Gyoergy
通讯作者：
Hajnoczky, Gyoergy
影响因子：
5.9
作者：
Kim D;Hwang HY;Ji ES;Kim JY;Yoo JS;Kwon HJ
通讯作者：
Kwon HJ
DOI：
10.1002/ar.20849
发表时间：
2009-03
影响因子：
2
作者：
Roy, Debashish;Steyer, Grant J.;Gargesha, Madhusudhana;Stone, Meredith E.;Wilson, David L.
通讯作者：
Wilson, David L.