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BiDiFuse: a FIJI plugin for fusing bi-directionally recorded microscopic image volumes

机译:BiDiFuse:FIJI插件,用于融合双向记录的显微图像量

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Deep tissue imaging is increasingly used for non-destructive interrogation of intact organs and small model organisms. An intuitive approach to increase the imaging depth by almost a factor of 2 is to record a sample from two sides and fuse both image stacks. However, imperfect three-dimensional alignment of both stacks presents a computational challenge. We have developed a FIJI plugin, called BiDiFuse, which merges bi-directionally recorded image stacks via 3D rigid transformations. The method is broadly applicable, considering it is compatible with all optical sectioning microscopes and it does not rely on fiducial markers for image registration.
机译:深度组织成像越来越多地用于完整器官和小模型生物的无损询问。一种将成像深度增加近2倍的直观方法是从两侧记录样本并融合两个图像堆栈。然而,两个堆叠的不完美​​的三维对准提出了计算上的挑战。我们开发了一个名为BiDiFuse的FIJI插件,该插件通过3D刚性变换合并了双向记录的图像堆栈。考虑到它与所有光学切片显微镜都兼容并且不依赖基准标记进行图像配准,因此该方法可广泛应用。

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    《Bioinformatics》 |2016年第23期|共3页
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