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Dense reconstruction of brain-wide neuronal population close to the ground truth

By Zhou Hang, Li Shiwei, Li Anan, Xiong Feng, Li Ning, Han Jiacheng, Kang Hongtao, Chen Yijun, Li Yun, Fang Wenqian, Liu Yidong, Lin Huimin, Jin Sen, Li Zhiming, Xu Fuqiang, Zhang Yu-hui, Lv Xiaohua, Liu Xiuli, Gong Hui, Luo Qingming, Quan Tingwei, Zeng Shaoqun

Posted 22 Nov 2017
bioRxiv DOI: 10.1101/223834

Recent progresses allow imaging specific neuronal populations at single-axon level across mouse brain. However, digital reconstruction of neurons in large dataset requires months of human labor. Here, we developed a tool to solve this problem. Our tool offers a special error-screening system for fast localization of submicron errors in densely packed neurites and along long projection across the whole brain, thus achieving reconstruction close to the ground-truth. Moreover, our tool equips algorithms that significantly reduce intensive manual interferences and achieve high-level automation, with speed 5 times faster compared to semi-automatic tools. We also demonstrated reconstruction of 35 long projection neurons around one injection site of a mouse brain at an affordable time cost. Our tool is applicable with datasets of 10 TB or higher from various light microscopy, and provides a starting point for the reconstruction of neuronal population for neuroscience studies at a single-cell level.

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