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Perspective Challenges of Processing and Analyzing Big Data in Mesoscopic Whole-brain Imaging

机译:介绍全脑成像中大数据处理和分析的透视挑战

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The brain is recognized as the most complex organ on earth.The complex neuronal network in the human brain consistsof approximately 86 billion neurons and more than one hundredtrillion connections [1]. Even the mouse brain, which iscommonly used as a model in neuroscience studies, containsmore than 71 million neurons. Despite the great efforts madeby the neuroscientists, our knowledge about the brain is stilllimited and studies on small model animals have only providedpreliminary results [2–4]. To improve the situation, brainsmaticsstudies try to accelerate neuroscience research by providinga standard whole-brain spatial coordinate system and standardizedlabeling tools, imaging the brain, as well as discoveringnew neuronal cell types, neuronal circuits, and brainvascular structures.
机译:大脑被认为是地球上最复杂的器官。人脑中的复杂神经元网络中的约860亿神经元和多百分之一的连接[1]。甚至是小鼠脑,它均为神经科学研究的模型,含有超过7100万神经元。尽管神经科学家制造得巨大努力,但我们对大脑的知识仍然限制,对小型动物的研究只有提供的结果[2-4]。为了改善这种情况,BrinsMaticsStudies尝试通过提供标准的全脑空间坐标系和标准化的标记工具,对大脑进行成像,以及发现新神经元细胞类型,神经元电路和脑血管结构来加速神经科学研究。

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