Viv: Multiscale Visualization of High-Resolution Multiplexed Bioimaging Data on the Web
Abstract
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 at spatially-resolved, subcellular resolution. While the rapid innovation of biological imaging poses significant scientific value, the proliferation of technologies without unification of interoperable standards have created challenges limiting analysis and sharing of results.
We introduce Viv – an open-source bioimaging visualization library which supports OME-TIFF and OME-NGFF directly on the web. Viv addresses a critical limitation of most web-based bioimaging viewers by removing a dependency on server-side rendering, offering a flexible toolkit for browsing multi-terabyte datasets on both mobile and desktop devices – without software installation.
Citation
T Manz, I Gold, NH Patterson, C McCallum, MS Keller, BW Herr II, K Börner, J Spraggins, N Gehlenborg. “Viv: Multiscale Visualization of High-Resolution Multiplexed Bioimaging Data on the Web” Nature Methods 19 515–516 (2022).