We present a semi-automated reconstruction of L2/3 mouse primary visual cortex from 3 million cubic microns of electron microscopic images, including pyramidal and inhibitory neurons, astrocytes, microglia, oligodendrocytes and precursors, pericytes, vasculature, mitochondria, and synapses. Visual responses of a subset of pyramidal cells are included. The data are being made publicly available, along with tools for programmatic and 3D interactive access. The density of synaptic inputs onto inhibitory neurons varies across cell classes and compartments. We uncover a compartment-specific correlation between mitochondrial coverage and synapse density. Frequencies of connectivity motifs in the graph of pyramidal cells are predicted quite accurately from node degrees using the configuration model of random graphs. Cells receiving more connections from nearby cells exhibit stronger and more reliable visual responses. These example findings illustrate the resource's utility for relating structure and function of cortical circuits as well as for neuronal cell biology.

中文翻译：

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皮质结构和功能的多尺度多峰重建

我们从300万立方微米的电子显微镜图像（包括锥体和抑制性神经元，星形胶质细胞，小胶质细胞，少突胶质细胞和前体，周细胞，脉管系统，线粒体和突触）呈现L2 / 3小鼠初级视觉皮层的半自动重建。包括锥体细胞的子集的视觉响应。数据以及用于编程和3D交互式访问的工具将公开提供。突触输入到抑制性神经元的密度随细胞类别和区室而变化。我们发现线粒体覆盖率和突触密度之间的特定于舱室的相关性。使用随机图的配置模型，可以根据节点度非常准确地预测锥体细胞图中的连通性图案的频率。从附近细胞接收更多连接的细胞显示出更强和更可靠的视觉响应。这些示例发现说明了该资源可用于关联皮层回路的结构和功能以及神经元细胞生物学。