Representational alignment of glomeruli activation in murine olfactory bulb

The presence of disease results in the production of odors different from thehealthy state, which can be detected by mice. Each odorant generates a uniqueglomeruli activation pattern in the murine olfactory system. However, thesesignals differ spatially and temporally across mice and capturing them is labor-intensive. To optimize the process, glomeruli activation patterns for many odor-ants could be mapped from a reference animal imaged on all available odorants totarget animals imaged on a subset of odorants. In our initial approach to developthis method, we align the glomeruli activation patterns for 11 odorants between 2mice using the optimal transport Sinkhorn algorithm.