Department of Neurobiology, University of Chicago, Chicago, IL, USA.
School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Sci Data. 2020 Oct 20;7(1):358. doi: 10.1038/s41597-020-00692-y.
Neural microarchitecture is heterogeneous, varying both across and within brain regions. The consistent identification of regions of interest is one of the most critical aspects in examining neurocircuitry, as these structures serve as the vital landmarks with which to map brain pathways. Access to continuous, three-dimensional volumes that span multiple brain areas not only provides richer context for identifying such landmarks, but also enables a deeper probing of the microstructures within. Here, we describe a three-dimensional X-ray microtomography imaging dataset of a well-known and validated thalamocortical sample, encompassing a range of cortical and subcortical structures from the mouse brain . In doing so, we provide the field with access to a micron-scale anatomical imaging dataset ideal for studying heterogeneity of neural structure.
神经微结构具有异质性，在脑区之间和内部都存在差异。在研究神经回路时，一致地识别感兴趣的区域是最关键的方面之一，因为这些结构是作为关键地标，用于绘制大脑通路。获得跨越多个脑区的连续的三维体积不仅为识别这些地标提供了更丰富的上下文，还能够更深入地探测内部的微观结构。在这里，我们描述了一个众所周知且经过验证的丘脑皮质样本的三维 X 射线显微断层成像数据集，涵盖了来自小鼠大脑的一系列皮质和皮质下结构。通过这样做，我们为研究神经结构的异质性提供了一个理想的微米级解剖成像数据集。
