The correlation of different microscopic imaging techniques alongside with microanalytical methods is crucial to better understand biological processes on a subcellular level. For that, micrographs and chemical maps exhibiting both, very different spatial resolution and field‐of‐view but also a highly multimodal content has to be co‐registered. We developed the ImageJ/Fiji plug‐in Correlia that provides an environment for handling multimodal correlative microscopy data. Several linear and nonlinear registration methods using either feature or area‐based similarity measures can flexibly be cascaded to align and warp 2D microscopy data sets. The registration of data sets containing light‐ and electron micrographs as well as chemical maps acquired by secondary‐ion mass spectroscopy and energy‐dispersive X‐ray spectroscopy is demonstrated. Correlia is an open‐source tool developed particularly for the registration and analysis of highly multimodal 2D correlative microscopy data.

中文翻译：

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Correlia：一个 ImageJ 插件，用于共同配准和可视化多模态相关显微照片


不同显微成像技术与微分析方法的相关性对于更好地理解亚细胞水平的生物过程至关重要。为此，显微照片和化学图必须同时显示出非常不同的空间分辨率和视野以及高度多模态的内容。我们开发了 ImageJ/Fiji 插件 Correlia，它提供了处理多模态相关显微镜数据的环境。使用基于特征或基于区域的相似性度量的几种线性和非线性配准方法可以灵活地级联以对齐和扭曲 2D 显微镜数据集。演示了包含光学和电子显微照片以及通过二次离子质谱和能量色散 X 射线光谱获得的化学图的数据集的注册。 Correlia 是一款专门为高度多模态二维相关显微镜数据的注册和分析而开发的开源工具。