连接组学
连接体
计算机科学
兆字节
高分辨率
数据科学
任务(项目管理)
可视化
切片
人工智能
神经科学
功能连接
万维网
地质学
生物
操作系统
经济
管理
遥感
作者
Jeff W. Lichtman,Moritz Helmstaedter
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2014-10-30
卷期号:346 (6209): 651-651
被引量:6
标识
DOI:10.1126/science.346.6209.651-c
摘要
Researchers in the field of connectomics endeavor to analyze the complex synaptic network formed by the billions of interconnected neurons. By thinly slicing neural tissue and imaging each section with a scanning electron microscope at high resolution, fine structural details can be visualized. Careful delineation of each neuron in the 3-D volume allows for the high-resolution mapping of all connections made by each cell, providing a detailed wiring diagram of the brain: the connectome. The sheer size and complexity of this scientific challenge is daunting. Tens of thousands of sections or more need to collected and hundreds of thousands of images recorded, resulting in many terabytes of data that require rapid processing, making connectomics a real “speed game.” Automated sample preparation robots and high throughput electron microscopes have now become available, bringing the promise of a larger (1 mm ³ ), high-resolution connectome within reach. However, extracting neuronal circuit information from such large datasets is still a daunting task. This webinar will outline the challenges of connectomics, explain the latest methodological developments that are bringing imaging and data analysis closer to the desired throughput, and provide insights into how this research can provide a deeper understanding of brain function and dysfunction. View the Webinar
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