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Mosaicing of microscope images in the presence of large areas with insufficient information content

机译：显微镜图像的马赛克在大面积内具有信息内容不足的情况下

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摘要

In virtual microscopy, multiple overlapping fields of view are acquired from a large slide using a motorized microscope stage that moves and focuses the slide automatically. A virtual slide is reconstructed by combining digitally saved fields of view into an image mosaic. A seamless reconstruction requires the correction of unknown positioning errors of the stage. This is usually done by automatically estimating alignment parameters of the tiles in the image mosaic. But finding accurate alignment parameters can be inhibited by the presence of tiles that lack information content in the areas of overlap. In this work we propose a new mosaicing method that accesses information content of each overlap and performs pairwise registrations of adjacent tiles only if the content of their overlap is deemed sufficient for successful registration. For global positioning of tiles a stitching path is found by tracing such content-rich overlaps. We tested the proposed algorithm on bright field and fluorescence microscope images and compared the results with those of an existing algorithm based on simultaneous estimation of global alignment parameters. It is shown that the new algorithm improves perceived image quality at boundaries between tiles. Our method is also computationally efficient since it performs no more than one pairwise registration per tile on average.
机译：在虚拟显微镜，多个视场重叠使用的是电动显微镜载物台的移动和自动聚焦滑动从大幻灯片获取。虚拟载片通过的视图数字保存字段组合成一个图像拼接重建。无缝重建需要的阶段的未知的定位误差的校正。这通常通过自动估计所述图像镶嵌瓦片的对准参数来完成。但要找到精确的对准参数可以是由缺少在重叠区域的信息内容的瓷砖的存在的抑制。在这项工作中，我们建议访问每个重叠和执行成对仅当它们的重叠的内容被认为足以用于成功注册的邻近瓦片的注册的信息内容的新的拼接方法。对于瓷砖的全球定位拼接路径是通过跟踪这种内容丰富的重叠找到。我们测试的亮场和荧光显微镜图像的算法，并与基于全球定位参数的同时估计这些现有算法的结果。结果表明，新的算法提升在瓷砖之间的边界感知的图像质量。我们的方法在计算上也是有效的，因为它执行平均每瓦片不超过一个成对登记。

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