Automated Cytometric Gating with Human-Level Performance Using Bivariate Segmentation
J. Chen, M. Ionita, Y. Feng, Y. Lu, P. Orzechowski, S. Garai, K. Hassinger, J. Bao, J. Wen, D. Duong-Tran, J. Wagenaar, M. L. McKeague, M. M. Painter, D. Mathew, A. Pattekar, , L. Shen
This paper introduces UNITO, a deep learning framework for automated cytometric gating that matches human performance and provides interpretable results without requiring manual input.
bioRxiv · May 6, 2024Immunology