一个新皮质体积的和重建
Narayanan Kasthuri1, Kenneth Jeffrey Hayworth1, Daniel Raimund Berger2
1Department of Molecular and Cellular Biology and Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Cell
|August 2, 2015
概括
研究人员开发了以纳米分辨率绘制小鼠新皮质结构的自动化技术. 这份详细的大脑地图驳斥了仅靠近距离就能预测突触连接的说法,
科学领域:
- 神经科学
- 计算生物学
- 生物物理
背景情况:
- 了解神经组织结构对于大脑功能至关重要.
- 之前的方法缺乏全面捕捉细胞和亚细胞细节的分辨率.
研究的目的:
- 开发高分辨率神经组织重建的自动化技术.
- 创建一个老鼠新皮层子卷的综合数据库.
- 研究大脑组织和突触连接的物理性质.
主要方法:
- 使用纳米分辨率神经组织成像的自动化技术.
- 产生了小鼠新皮质子体积的和重建.
- 在可搜索的数据库中对细胞和亚细胞组件进行分类.
主要成果:
- 成功染和分类所有细胞对象 (轴突,树突,细胞质) 和亚细胞组件 (突触,囊泡,脊柱,线粒体).
- 对轴突轨迹和树突脊柱并置的分析驳斥了关于物理近距离和突触连接的"彼得规则".
- 建立了一个可挖掘的在线数据库,
结论:
- 自动化纳米分辨率重建为神经组织复杂性提供了前所未有的洞察力.
- 物理接近不足以预测突触连接, 挑战长期存在的假设.
- 创建的数据库有助于进一步对大脑结构和功能进行数据驱动的研究.
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