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TeraStitcher-一种用于快速自动拼接 teravoxel 大小的显微镜图像的工具。

TeraStitcher - a tool for fast automatic 3D-stitching of teravoxel-sized microscopy images.

机构信息

Center of Integrated Research, University Campus Bio-Medico di Roma, v, Alvaro del Portillo 21, 00128 Roma (RM), Italy.

出版信息

BMC Bioinformatics. 2012 Nov 27;13:316. doi: 10.1186/1471-2105-13-316.

Abstract

BACKGROUND

Further advances in modern microscopy are leading to teravoxel-sized tiled 3D images at high resolution, thus increasing the dimension of the stitching problem of at least two orders of magnitude. The existing software solutions do not seem adequate to address the additional requirements arising from these datasets, such as the minimization of memory usage and the need to process just a small portion of data.

RESULTS

We propose a free and fully automated 3D Stitching tool designed to match the special requirements coming out of teravoxel-sized tiled microscopy images that is able to stitch them in a reasonable time even on workstations with limited resources. The tool was tested on teravoxel-sized whole mouse brain images with micrometer resolution and it was also compared with the state-of-the-art stitching tools on megavoxel-sized publicy available datasets. This comparison confirmed that the solutions we adopted are suited for stitching very large images and also perform well on datasets with different characteristics. Indeed, some of the algorithms embedded in other stitching tools could be easily integrated in our framework if they turned out to be more effective on other classes of images. To this purpose, we designed a software architecture which separates the strategies that use efficiently memory resources from the algorithms which may depend on the characteristics of the acquired images.

CONCLUSIONS

TeraStitcher is a free tool that enables the stitching of Teravoxel-sized tiled microscopy images even on workstations with relatively limited resources of memory (<8 GB) and processing power. It exploits the knowledge of approximate tile positions and uses ad-hoc strategies and algorithms designed for such very large datasets. The produced images can be saved into a multiresolution representation to be efficiently retrieved and processed. We provide TeraStitcher both as standalone application and as plugin of the free software Vaa3D.

摘要

背景

现代显微镜的进一步发展导致了 teravoxel 大小的平铺 3D 图像以高分辨率出现,从而将拼接问题的维度至少增加了两个数量级。现有的软件解决方案似乎不足以满足这些数据集带来的额外要求,例如最小化内存使用和仅处理一小部分数据的需求。

结果

我们提出了一种免费且完全自动化的 3D 拼接工具,旨在满足来自 teravoxel 大小平铺显微镜图像的特殊要求,即使在资源有限的工作站上,它也能够在合理的时间内对其进行拼接。该工具已在具有亚微米分辨率的 teravoxel 大小全鼠标脑图像上进行了测试,并与具有 megavoxel 大小的公开可用数据集的最新拼接工具进行了比较。该比较证实,我们采用的解决方案适合拼接非常大的图像,并且在具有不同特征的数据集上也表现良好。事实上,如果其他拼接工具中嵌入的某些算法在其他类别的图像上效果更好,那么可以很容易地将它们集成到我们的框架中。为此,我们设计了一种软件架构,将有效地利用内存资源的策略与可能取决于所获取图像特征的算法分离。

结论

TeraStitcher 是一种免费工具,即使在具有相对有限内存(<8GB)和处理能力的工作站上,也可以实现 Teravoxel 大小的平铺显微镜图像的拼接。它利用了近似平铺位置的知识,并使用了专为这种非常大的数据集设计的特定策略和算法。生成的图像可以保存到多分辨率表示中,以便高效检索和处理。我们提供了 TeraStitcher 作为独立应用程序和免费软件 Vaa3D 的插件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d355/3582611/0b3a622e40c5/1471-2105-13-316-1.jpg

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