Quantitative imaging of native tissue architecture combined with deep multi-omics reveals the spatial biology of kidney aging
William V Trim, Mariia Diakova, Matthew Sonnett, Kseniia Petrova, Bingsen Zhang, Seungeun Oh, Romain Donne, Corissa McEwen, Hunter Salmon, Abhilash Gadi, Tea Shavlakadze, Edward T Chouchani, David J Glass, Marc W W Kirschner
This paper introduces NORIGAMI, a multi-omics pipeline that combines imaging and deep learning to analyze kidney aging, revealing age-related structural and molecular changes.
bioRxiv · Nov 2, 2026 · PreprintPhysiology