MAUI (MBI Analysis User Interface)—An image processing pipeline for Multiplexed Mass Based Imaging
Fig 3
Removal of cross-channel contamination.
(A-C) Shown are examples for different sources of cross-channel contamination. In all cases a target channel (top row) is contaminated by another channel (middle row) or is correlated with such contamination. MAUI allows to remove this contamination from the target image (bottom row). (D) The first step for removal of cross-channel contamination is to cap, blur and threshold the contaminating channel to generate a binary mask of the contamination. The second is to remove signal where the mask is positive. (E-H) Examples of the resulting image when varying the algorithm parameters, including the Contaminant Cap (E), Gaussian Radius (F), Threshold (G), and the Remove Value (H). (I) The GUI enables to rapidly evaluate these parameters across many points and channels.