We took a “no cell shall be left behind” approach which wouldn’t be possible without #Cellpose, #TrackMate by @jytinevez.bsky.social , #Fiji and #rstats analysis and visualization with GlmmTMB, emmeans and #SuperPlots and microscopy cores at UCSD. Plasmids available from @addgene.bsky.social

So we proposed #SuperPlots, which superimpose sample-to-sample summary data on top of the cell-level distribution. It's a simple way to convey both variability of the underlying data and the repeatability of the experiment. Here, sample means are overlaid on a violin plot of all the cell data.