Flow cytometry, a powerful website technique for analyzing single cells, often relies on fluorescent labeling to distinguish and quantify cell populations. Nevertheless, matrix spillover, the unintentional transfer of fluorescence from one channel to another, can introduce artifacts and compromise data accuracy. To address this challenge, AI-driven