Department of Isotope Biogeochemistry, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.
Department of Isotope Biogeochemistry, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.
Methods Cell Biol. 2021;162:353-388. doi: 10.1016/bs.mcb.2020.10.001. Epub 2020 Nov 18.
Correlative microscopy experiments require the co-registration of the image data acquired by different micro-analytical techniques. Major challenges are the potentially very different fields-of-view and resolutions as well as the multi-modality of the data. To provide microscopists with an easy-to-use software for two-dimensional image co-registration we have developed Correlia, an open source software based on ImageJ/Fiji, which is fully tailored for the registration of multi-modal microscopy data. It can handle data-sets of in principle arbitrary extent and uses classical approaches, i.e., rigid registration tools or B-spline based deformation models for the correction of both, global and local misalignments, such that a fast registration output is provided. Here we describe some of the basics of Correlia focusing on its application: firstly, registration workflows are outlined on artificial data. In the second part these recipes are applied to register correlative data acquired on an algal biofilm and a soil sample.
相关显微镜实验需要对不同微分析技术获取的图像数据进行配准。主要挑战在于潜在的非常不同的视场和分辨率以及数据的多模态性。为了为显微镜提供易于使用的二维图像配准软件，我们开发了 Correlia，这是一个基于 ImageJ/Fiji 的开源软件，完全针对多模态显微镜数据的配准进行了定制。它可以处理原则上任意大小的数据集，并使用经典方法，即刚性配准工具或基于 B 样条的变形模型来纠正全局和局部的配准偏差，从而提供快速的配准输出。在这里，我们将描述 Correlia 的一些基础知识，重点介绍其应用：首先，在人工数据上概述了配准工作流程。在第二部分，将这些方案应用于在藻类生物膜和土壤样本上采集的相关数据的配准。
