Deep Learning Model Imputes Missing Stains in Multiplex Images
Muhammad Shaban,
Wiem Lassoued,
Kenneth Canubas
et al.
Abstract:Multiplex staining enables simultaneous detection of multiple protein markers within a tissue sample. However, the increased marker count increased the likelihood of staining and imaging failure, leading to higher resource usage in multiplex staining and imaging. We address this by proposing a deep learning-basedMArker imputation model for multipleXIMages (MAXIM) that accurately impute protein markers by leveraging latent biological relationships between markers. The model’s imputation ability is extensively e… Show more
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