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Connectomic reconstruction of the inner plexiform layer in the mouse retina

机译：小鼠视网膜内丛状层的结缔组织重建

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摘要

Comprehensive high- resolution structural maps are central to functional exploration and understanding in biology. For the nervous system, in which high resolution and large spatial extent are both needed, such maps are scarce as they challenge data acquisition and analysis capabilities. Here we present for the mouse inner plexiform layer—the main computational neuropil region in the mammalian retina—the dense reconstruction of 950 neurons and their mutual contacts. This was achieved by applying a combination of crowd-sourced manual annotation and machine-learning-based volume segmentation to serial block-face electron microscopy data. We characterize a new type of retinal bipolar interneuron and show that we can subdivide a known type based on connectivity. Circuit motifs that emerge from our data indicate a functional mechanism for a known cellular response in a ganglion cell that detects localized motion, and predict that another ganglion cell is motion sensitive.
机译：全面的高分辨率结构图对于生物学中的功能探索和理解至关重要。对于既需要高分辨率又需要大空间范围的神经系统，这样的地图是稀缺的，因为它们挑战了数据获取和分析能力。在这里，我们为小鼠的内部丛状层（哺乳动物视网膜中的主要计算神经丛区域）展示了950个神经元及其相互接触的密集重建。这是通过将众包手动注释和基于机器学习的体积分割相结合应用于串行块面电子显微镜数据来实现的。我们表征了一种新型的视网膜双极中间神经元，并表明我们可以根据连通性细分已知类型。从我们的数据中得出的电路基序表明神经节细胞中检测到局部运动的已知细胞反应的功能机制，并预测另一个神经节细胞对运动敏感。

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  • 来源
    《Nature》 |2013年第7461期|168-174|共7页
  • 作者

    Moritz Helmstaedter; Kevin L. Briggman; Srinivas C. Turaga; Viren Jain; H. Sebastian Seung; Winfried Denk;

  • 作者单位

    Max-Planck Institute of Neurobiology, D-82152 Martinsried, Germany;

    National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland 20892,USA;

    Gatsby Computational Neuroscience Unit, London WC1N 3AR, UK;

    Howard Hughes Medical Institute, Janelia Farm Research Campus,Ashburn, Virginia 20147, USA;

    Department of Brain and Cognitive Sciences, Howard Hughes Medical Institute, Massachusetts Institute of Technology,Cambridge, Massachusetts 02139, USA;

    Max-Planck Institute for Medical Research, D-69120 Heidelberg, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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