Organizations: Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA, 02215 · Photonics Center, Boston University, Boston, MA, USA, 02215 · The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, 30332 · Department of Biomedical Engineering, Boston University, Boston, MA, USA, 02215 · Department of Chemistry, Boston University, Boston, MA, USA, 02215
High-dimensional microscopy captures features across space, time, and spectrum, but complex backgrounds obscure signals. We present Background2Background (B2B), a self-supervised background removal framework leveraging the backgrounds larger correlation relative to the signal. Local pixel shuffling disrupts signal correlations while preserving background structure, transforming signals into effective noise for Noise2Noise-based background removal. Across fluorescence, stimulated Raman scattering and mid-infrared photothermal imaging, B2B achieves over 40-fold background suppression and reveals hidden signatures.
Wenzhou Key Laboratory of Biomedical Imaging, Zhejiang Key Laboratory of Soft Matter Biomedical Materials, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325000, China · Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou, Zhejiang 325035, China