We still lack a detailed map of the anatomical disposition of neurons in the human brain. A complete map would be an important step for deeply understanding the brain function, providing anatomical information useful to decipher the neuronal pattern in healthy and diseased conditions. Here, we present several important advances towards this goal, obtained by combining a new clearing method, advanced Light Sheet Microscopy and automated machine-learning based image analysis. We perform volumetric imaging of large sequentially stained human brain slices, labelled for two different neuronal markers NeuN and GAD67, discriminating the inhibitory population and reconstructing the brain connectivity.

中文翻译：

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人脑切片的快速体积映射

我们仍然缺乏人脑中神经元解剖结构的详细图。完整的地图将是深入了解大脑功能，提供有用的解剖信息以破译健康和患病情况下神经元模式的重要步骤。在这里，我们提出了通过结合新的清除方法，先进的光片显微镜技术和基于机器学习的自动图像分析技术而取得的一些重要进展。我们执行大型连续染色的人脑切片的体积成像，标记为两个不同的神经元标记NeuN和GAD67，以区分抑制性种群并重建大脑的连通性。