1554-CellTune for Precise Spatial Proteomics Classification

Paper Talk · Sep 7, 2026 · 25m

The paper introduces CellTune, a specialized software designed to improve the accuracy of cell classification in complex spatial proteomics data. By utilizing a human-in-the-loop active learning workflow, the platform enables researchers to iteratively refine machine learning models through focused manual annotations. The software integrates multichannel visualization, spatial feature analysis, and intuitive labeling tools to overcome common challenges like signal spillover and imbalanced datasets. To support this technology, the authors developed CellTuneDepot, a massive resource containing…