Brain microstructure reconstruction based on deep learning

作者：Xie Qiwei; Chen Xi; Shen Lijun; Li Guoqing; Ma Hongtu; Han Hua^*

来源：Systems Engineering-Theory & Practice, 2018, 38(2): 482-491.

DOI：10.12011/1000-6788(2018)02-0482-10

• Automatic analysis
• Convolutional networks
• Electron microscope images
• High throughput
• Microstructure reconstruction
• Operation mechanism
• Region proposals
• Spatial pyramids

To research the operation mechanism of brain for realizing brain-inspired intelligence, we employ the deep learning tool system to solve the problems of automatic analysis of big data in synaptic-scale brain microstructure reconstruction. The problems include dense neurons reconstruction, single neuron tracing, key organelles detection and reconstruction. Meanwhile, we adopt the fully convolutional networks (FCN) with a candidate region proposal network (RPN) to detect mitochondria and synapses, and integrate deep SPPUnet (spatial pyramid pooling U-net) framework with multi-cut algorithm for neurons reconstruction. Preferable performance have achieved in visual and quantitative analysis. These works provide effective support for high-throughput synaptic-scale brain microstructure reconstruction for neuroscientists.

• 出版日期2018
• 单位中国科学院大学