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首页> 外文期刊>Journal of Neuroscience Methods >Automatic mosaicking and volume assembly for high-throughput serial-section transmission electron microscopy.
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Automatic mosaicking and volume assembly for high-throughput serial-section transmission electron microscopy.

机译：高通量连续截面透射电子显微镜的自动镶嵌和体积装配。

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摘要

We describe a computationally efficient and robust, fully-automatic method for large-scale electron microscopy image registration. The proposed method is able to construct large image mosaics from thousands of smaller, overlapping tiles with unknown or uncertain positions, and to align sections from a serial section capture into a common coordinate system. The method also accounts for nonlinear deformations both in constructing sections and in aligning sections to each other. The underlying algorithms are based on the Fourier shift property which allows for a computationally efficient and robust method. We demonstrate results on two electron microscopy datasets. We also quantify the accuracy of the algorithm through a simulated image capture experiment. The publicly available software tools include the algorithms and a Graphical User Interface for easy access to the algorithms.
机译：我们描述了一种用于大型电子显微镜图像配准的计算有效且强大的全自动方法。所提出的方法能够从成千上万个位置未知或不确定的较小的，重叠的图块构造大型图像马赛克，并将来自连续截面捕获的截面对齐到一个公共坐标系。该方法还考虑了在构造截面和将截面彼此对齐中的非线性变形。底层算法基于傅立叶移位属性，该属性允许计算高效且健壮的方法。我们在两个电子显微镜数据集上展示了结果。我们还通过模拟图像捕获实验来量化算法的准确性。可公开获得的软件工具包括算法和易于访问算法的图形用户界面。

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