A three-dimensional thalamocortical dataset for characterizing brain heterogeneity [electronic resource]

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Tác giả:

Ngôn ngữ: eng

Ký hiệu phân loại: 005.4 Systems programming and programs

Thông tin xuất bản: Arlington, Va. : Oak Ridge, Tenn. : National Science Foundation (U.S.) ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2020

Mô tả vật lý: Size: Article No. 358 : , digital, PDF file.

Bộ sưu tập: Metadata

ID: 259802

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.
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