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. 2022 May;19(5):515-516.
doi: 10.1038/s41592-022-01482-7.

Viv: multiscale visualization of high-resolution multiplexed bioimaging data on the web

Trevor Manz  1 , Ilan Gold  1 , Nathan Heath Patterson  2 , Chuck McCallum  1 , Mark S Keller  1 , Bruce W Herr 2nd  3 , Katy Börner  3 , Jeffrey M Spraggins  2 , Nils Gehlenborg  4
Affiliations

Viv: multiscale visualization of high-resolution multiplexed bioimaging data on the web

Trevor Manz et al. Nat Methods. 2022 May.
No abstract available

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Figures

Fig. 1 ∣
Fig. 1 ∣. Overview of data flow and rendering approaches for web-based bioimage data visualization and Viv features.
DT indicates the location where data is transformed into an image. The right column displays a subset of Viv’s flexible client-side rendering, including multiscale 2D pyramids, magic lenses and 3D volumes via raycasting.
See this image and copyright information in PMC

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