Ye Zhenqing, Lai Zhao, Zheng Siyuan, Chen Yidong
Greehey Children's Cancer Research Institute, University of Texas Health San Antonio, San Antonio, Texas, 78229, USA.
Department of Population Health Sciences, University of Texas Health San Antonio, San Antonio, Texas, 78229, USA.
bioRxiv. 2023 Oct 4:2023.09.24.559173. doi: 10.1101/2023.09.24.559173.
Single cell spatial-omics data visualization plays a pivotal role in unraveling the intricate spatial organization and heterogeneity of cellular systems. Although various software tools and packages have been developed for this purpose, challenges persist in terms of user-friendly accessibility, data integration, and interactivity. In this study, we introduce Spatial-Live, a ghtweight and rsatile viewer tool designed for flexible single-cell spatial-omics data visualization. Spatial-Live overcomes the fundamental limitations of two-dimensional (2D) orthographic modes by employing a layer-stacking strategy, enabling efficient rendering of diverse data types with interactive features, and enhancing visualization with richer information in a unified three-dimensional (3D) space.
单细胞空间组学数据可视化在揭示细胞系统复杂的空间组织和异质性方面起着关键作用。尽管为此已经开发了各种软件工具和包,但在用户友好的可访问性、数据集成和交互性方面仍然存在挑战。在本研究中,我们介绍了Spatial-Live,这是一种轻量级且通用的查看器工具,专为灵活的单细胞空间组学数据可视化而设计。Spatial-Live通过采用层堆叠策略克服了二维(2D)正交模式的基本限制,能够高效渲染具有交互功能的各种数据类型,并在统一的三维(3D)空间中以更丰富的信息增强可视化效果。