 CellCyta is a deep learning-based algorithm that can accurately classify different cell types from multiplexed images. It requires only a few hundred labeled examples to train and can achieve high accuracy over 80% on multiple data sets. The algorithm also provides a prediction confidence score, enabling users to make informed decisions about their results. This article was offered by Yoel Amiti, Yuval Bussi, Ben Feinstein, and others.