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Viv is open source and available under an MIT license at https://github.com/hms-dbmi/viv and at https://www.npmjs.com/package/@hms-dbmi/viv.
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We would like to thank members of the OME community for their guidance, as well as M. deCaestecker, E. Neumann and M. Brewer from Vanderbilt University and Vanderbilt University Medical Center for their efforts generating the imaging mass spectrometry and microscopy data highlighted in the referenced the use cases. Viv was developed with funding from the US National Institutes of Health (NIH; OT2OD026677, T15LM007092, T32HG002295) and National Science Foundation (NSF; DGE1745303) and the Harvard Stem Cell Institute (CF-0014-17-03). The use cases in this manuscript were supported with additional funding from the NIH (U54DK120058, 2P41GM103391, OT2OD026671) and NSF (CBET1828299).
N.G. is a co-founder and equity owner of Datavisyn. All other authors declare no competing interests
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Nature Methods thanks Ulrik Günther and Nikita Vladimirov for their contribution to the peer review of this work.
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Manz, T., Gold, I., Patterson, N.H. et al. Viv: multiscale visualization of high-resolution multiplexed bioimaging data on the web. Nat Methods 19, 515–516 (2022). https://doi.org/10.1038/s41592-022-01482-7
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