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Single-cell profiling has gone from heroic to routine in just a few years. That's wonderful for biology, and hard on visualization. When an experiment has dozens of samples and clusters, a scatter plot can turn into a wall of overlapping dots, and the subtle population you're chasing gets lost in the crowd. This release is a set of focused upgrades aimed squarely at that problem.
Recent posts by Ryan Friese, PhD
2 min read
Spatial Biology, End to End: GeoMx DSP Analysis Arrives in Rosalind
Few areas of biology are moving faster right now than spatial profiling. For decades we ground tissue into a tube and measured an average, losing exactly the thing that makes tissue interesting: where each cell sits, and who its neighbors are. Spatial transcriptomics gives that context back, and it is reshaping how researchers study tumor microenvironments, immune infiltration, and disease boundaries.