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bioRxiv · 10.1101/223834

Advanced NeuroGPS-Tree: dense reconstruction of brain-wideneuronal population close to ground truth

Abstract

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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BibTeXRIS

Zhou, H., Li, S., Feng, X., Han, J., Kang, H., Chen, Y., Li, Y., Li, J., Su, L., Li, A., Gong, H., Zeng, S., Quan, T., Luo, Q.. 2017-11-22. Advanced NeuroGPS-Tree: dense reconstruction of brain-wideneuronal population close to ground truth. https://doi.org/10.1101/223834

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