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Vizgen Inc., a leader in spatial multi-omics and developer of MERFISH technology, announced the launch of Velocity Lab™, a central foundry to generate decision-grade spatial biology data together with collaborators at unprecedented scale. Velocity Lab pairs the sensitivity for which the company's MERSCOPE® Platform is known with new technologies required for the measurements that the most advanced models of biology need.
Available to partners now, Velocity Lab is scaling toward transcriptome-scale spatial profiling of hundreds of millions of cells per week in 2027. Presently, Velocity Lab offers researchers two new capabilities for biological discovery and drug development:
Vizgen is also equipping Velocity Lab for spatially resolved functional genomics. Early-access collaborations will enable researchers, through pooled perturbations, to investigate disease mechanisms and identify novel therapeutic targets while preserving the cellular and tissue context lost in bulk approaches.
“Foundation models of biology are limited by the kind of data they are trained on, not only the amount. Cells act on one another, and you cannot learn those interactions strictly from cells measured out of their system context. Velocity Lab generates, with partners, what’s scarce, and it does so at scale: cells characterized in intact volumetric tissue, under defined perturbation, by protein as well as transcript,” said Rob Carson, President & CEO, Vizgen Inc.
First partners generating novel data
Initial Velocity Lab research collaborations are underway, including a large multi-national biopharma partner using Volumetric Tissue Mapping™ for neuroscience drug discovery and a leading independent nonprofit research organization using MERSCOPE CoMap™ for high-plex multiomics profiling.
"Measuring protein and RNA together on the same section lets us connect a cell's molecular identity to its functional state, a critical layer as we build reference atlases of human tissue. Generating this data through Velocity Lab gave us the quality and consistency we need, at a scale that keeps our atlasing work moving,” said Jennie Close, Ph.D., Sr. Scientist, the Allen Institute.
Together, these capabilities move spatial biology beyond thin-section snapshots toward data with the depth and functional context predictive biology requires, generated at the scale that cell atlasing, disease research, and drug development demand.