Viv: Multiscale Visualization of High-Resolution Multiplexed Bioimaging Data on the Web

Abstract

Recent advances in highly multiplexed imaging have enabled the comprehensive profiling of complex tissues in healthy and diseased states, facilitating the study of fundamental biology and human disease in spatially-resolved contexts at subcellular resolution. However, current computational infrastructure to distribute and visualize these data on the web remains complex to set up and maintain. To address these limitations, we have developed Viv—an open-source image visualization library for high-resolution multiplexed image data that is implemented in JavaScript and builds on modern web technologies. Viv directly renders OME-TIFF and OME-NGFF data formats. Three use cases, including integration into Jupyter Notebooks (https://github.com/hms-dbmi/vizarr), a visual exploration tool, and an image viewer (http://avivator.gehlenborglab.org) demonstrate the capabilities of our proposed approach.