摘要
近年来,分子标记和显微光学成像技术的系列突破,使得单细胞分辨的全脑尺度神经群落成像成为现实.然而,现有神经元形态重建工具的发展速度远远滞后于海量数据的产生速度,难以满足现阶段成像数据的分析需求.在此背景下,我们首先分析了神经元形态重建工具发展滞后的原因,简述现有半自动和全自动神经元形态重建工具的特点和最新发展,并结合现有工具的特点分析其向高通量、高准确度重建工具发展时面临的挑战.最后,我们对未来形态重建工具的发展趋势及应用前景做出展望.
Recent breakthroughs in molecular labeling and light microscopy enable the imaging of brain-wide neuronal population at cellular level. However, the development of neuronal reconstruction tools lags far behind massive datasets generation, which fails to meet the data analysis requirement at the current stage. In this sense,we first sought reasons for backwardness in current reconstruction tools and we summarized the features and introduced latest developments in these semi-automatic and fully automatic tools. Based on the summarized features, we further listed the challenges in developing reconstruction tools with high throughput and accuracy. In the end, we aired our views on the future development and application prospect of tools in neuron reconstruction.
引文
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