Extracting biological structure and heterogeneity from the nano to the macro scale
Edward Rosten, Daniel Stedman, Lee-Ya Chu, Kokila Wickramanayake, George R. Littlejohn, Katherine J. Baxter, Gail McConnell, Siân Culley, Quee-Lim Ch'ng, Christophe Leterrier, Mark Bates, Maxim I. Molodtsov, Susan Cox
This paper introduces SQUASSH, a convolutional neural network that fits structural models to fluorescence microscopy data to quantify variability across biological scales.
bioRxiv · Aug 6, 2025 · PreprintCell Biology