Spatial-Live: A Lightweight & Versatile Visualization Tool for Spatial-Omics Data

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Spatial-Live is a lightweight and versatile visualization tool specifically developed for single cell spatial-omics data analysis, including spatial transcriptiomics and more. Its 3D integration of multiple layers within a single space makes it highly suitable for visualizing multi-type spatial data. Leveraging the rendering capabilities of WebGL2 (GPU) technology, Spatial-Live efficiently processes large datasets, offering interactivity, responsiveness, and a wide range of visualization effects through the stacking of multiple layers. As the saying goes, a picture is worth a thousand words. We firmly believe that effective data visualization plays a pivotal role in data exploration and interpretation, serving as a key component in gaining insights from complex datasets. Spatial-Live represents a valuable tool for achieving these objectives.

The development of Spatial-Live relied on several outstanding third-party libraries, such as deckgl, vue3, and react framework, alongside numerous other open-source libraries that may not all be listed here. I am immensely grateful for the contributions of these libraries and the invaluable work they have provided.

Citation

If you use Spatial-Live in your work, please cite the publication(preprint now) as follows:

Spatial-Live: A lightweight and versatile tool for single cell spatial-omics data visualization

Zhenqing Ye, Zhao Lai, Siyuan Zheng, Yidong Chen.

doi: https://doi.org/10.1101/2023.09.24.559173

Note

This project is under active development.

Contents

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