发表机构
University of Wisconsin–Milwaukee（威斯康星大学密尔沃基分校）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究提出MOSAICX自动化拼接工作流程，将434张direct-CXI图像拼接为大面积复合图像，实现了对反铁磁拓扑绝缘体MnBi₂Te₄完整磁畴结构的可视化，为处理大型direct-CXI数据集提供了高效方案。
AI 中文摘要
直接空间实时相干X射线成像（direct-CXI）可实现对磁畴结构及动力学的可视化，其观测长度尺度超过单张图像的视场范围。然而，大面积测量通常需要光栅扫描，产生数百张部分重叠的图像，必须对其进行精确配准与组合，才能开展定量分析。本文提出了用于相干X射线成像的多图像重叠拼接与自动图像构建（MOSAICX），这是一种面向大面积直接空间相干X射线成像的自动化拼接工作流程，包含图像居中、掩模、修剪、二值化、分层拼接及后处理步骤。为验证该方法，将其应用于包含434张反铁磁拓扑绝缘体MnBi₂Te₄的direct-CXI图像的数据集，这些图像先被组合为列重构结果，再拼接为单张大视场复合图像。最终重构结果揭示了扫描区域内完整的磁畴与畴壁分布，同时抑制了成像伪影与探测器缺陷。该工作流程为处理大型direct-CXI数据集提供了高效方法，可实现对超出单次测量视场的磁畴结构的可视化与分析。
英文摘要
Direct-space and real-time coherent X-ray imaging (direct-CXI) enables visualization of magnetic-domain structures and dynamics over length scales exceeding the field of view of a single image. However, large-area measurements typically require raster scanning, producing hundreds of partially overlapping images that must be accurately aligned and combined before quantitative analysis can be performed. Here, we present Multi-image Overlap Stitching and Automatic Image Construction for coherent X-ray imaging (MOSAICX), an automated stitching workflow for large-area direct-space coherent X-ray imaging. The workflow consists of image centering, masking, trimming, binarization, hierarchical stitching, and post-processing. To demonstrate the method, we apply it to a dataset comprising 434 direct-CXI images of the antiferromagnetic topological insulator MnBi$_2$Te$_4$. The images are first combined into column reconstructions and subsequently stitched into a single large-area composite image. The resulting reconstruction reveals the complete magnetic-domain and domain-wall landscape over the scanned region while suppressing imaging artifacts and detector defects. The presented workflow provides an efficient approach for processing large direct-CXI datasets and enables visualization and analysis of magnetic-domain structures beyond the field of view of individual measurements.
