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Department of Quantitative Biomedicine

The Bodenmiller group develops a strategy that estimates tissue spatial segregation to optimise multiplexed imaging experimental design

Optimizing multiplexed imaging experimental design through tissue spatial segregation estimation

Multiplexed imaging methods allow simultaneous detection of dozens of proteins and hundreds of RNAs, but parameters for the design of optimal multiplex imaging studies are lacking. In this work, the Bodenmiller group developed a statistical framework that determines the number and area of fields of view necessary to accurately identify all cell phenotypes that are part of a tissue. This strategy was then used on imaging mass cytometry data to identify a measurement of tissue spatial segregation that enables optimal experimental design.

See Bost et al., Nat Methods