Edmond and Lily Safra Center for Brain Sciences, Hebrew University of Jerusalem, Jerusalem, Israel.
Science. 2021 Nov 5;374(6568):762-767. doi: 10.1126/science.abj7960. Epub 2021 Oct 7.
Uncovering the architecture of white matter axons is fundamental to the study of brain networks. We developed a method for quantifying axonal orientations at a resolution of ~15 micrometers. This method is based on the common Nissl staining technique for postmortem histological slices. Nissl staining reveals the spatial organization of glial cells along axons. Using structure tensor analysis, we leveraged this patterned organization to uncover local axonal orientation. We used Nissl-based structure tensor analysis to extract fine details of axonal architecture and demonstrated its applicability in multiple datasets of humans and nonhuman primates. Nissl-based structure tensor analysis can be used to compare fine-grained features of axonal architecture across species and is widely applicable to existing datasets.
揭示白质轴突的结构对于研究大脑网络至关重要。我们开发了一种方法，可以在约 15 微米的分辨率下定量轴突的方向。该方法基于用于死后组织切片的常见尼氏染色技术。尼氏染色揭示了胶质细胞沿轴突的空间组织。利用结构张量分析，我们利用这种有图案的组织来揭示局部轴突方向。我们使用基于尼氏的结构张量分析来提取轴突结构的精细细节，并在人类和非人类灵长类动物的多个数据集上证明了其适用性。基于尼氏的结构张量分析可用于比较物种间轴突结构的细粒度特征，并且广泛适用于现有数据集。
