Ma Bin, Zimmermann Timo, Rohde Manfred, Winkelbach Simon, He Feng, Lindenmaier Werner, Dittmar Kurt E J
Division of Molecular Biotechnology, German Research Centre of Biotechnology, Mascheroder Weg 1, D-38124 Braunschweig, Germany.
Micron. 2007;38(5):492-9. doi: 10.1016/j.micron.2006.07.027. Epub 2006 Sep 8.
Image stitching is the process of combining multiple images to produce a panorama or larger image. In many biomedical studies, including those of cancer and infection, the use of this approach is highly desirable in order to acquire large areas of certain structures or whole sections, while retaining microscopic resolution. In this study, we describe the application of Autostitch, viz. software that is normally used for the generation of panoramas in photography, in the seamless stitching of microscope images. First, we tested this software on image sets manually acquired by normal light microscopy and compared the performance with a manual stitching approach performed with Paint Shop Pro. Secondly, this software was applied to an image stack acquired by an automatic microscope. The stitching results were then compared with that generated by a self-programmed rectangular tiling macro integrated in Image J. Thirdly, this program was applied in the image stitching of images from electron microscopy. Thus, the automatic stitching program described here may find applications in convenient image stitching and virtual microscopy in the biomedical research.
图像拼接是将多幅图像组合以生成全景图或更大图像的过程。在许多生物医学研究中，包括癌症和感染方面的研究，为了获取某些结构的大面积区域或整个切片，同时保持微观分辨率，非常需要使用这种方法。在本研究中，我们描述了Autostitch软件的应用，该软件通常用于摄影中全景图的生成，用于显微镜图像的无缝拼接。首先，我们在通过普通光学显微镜手动采集的图像集上测试了该软件，并将其性能与使用Paint Shop Pro进行的手动拼接方法进行了比较。其次，该软件应用于由自动显微镜采集的图像堆栈。然后将拼接结果与集成在Image J中的自行编写的矩形平铺宏生成的结果进行比较。第三，该程序应用于电子显微镜图像的拼接。因此，这里描述的自动拼接程序可能在生物医学研究中的便捷图像拼接和虚拟显微镜方面找到应用。
