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bioRxiv · 10.1101/2025.08.15.670550

Rakaia: interactive discovery of spatial biology at scale

Watson, M.·Abazari, G.·Chen, E. L.·Tan, T. J.·Gorman, J. L.·Diorio, C.·Berman, H. K.·Campbell, K. R.·Jackson, H. W.
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Abstract

Spatial biology data throughput currently outpaces interpretable analysis, limiting large-scale discovery and translation. Here we present Rakaia, a browser-based platform for multiplexed imaging and spatial transcriptomics, empowering code-free interactive exploration and evaluation. Rakaia enables visualization, annotation, and feature-based querying with prioritization across thousands of images. We use Rakaia to identify cell types of interest in >200 highly multiplexed images from non-malignant human breast tissue. Rakaia is available at: https://rakaia.io/

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Watson, M., Abazari, G., Chen, E. L., Tan, T. J., Gorman, J. L., Diorio, C., Berman, H. K., Campbell, K. R., Jackson, H. W.. 2025-08-20. Rakaia: interactive discovery of spatial biology at scale. https://doi.org/10.1101/2025.08.15.670550

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