Our laboratory is pleased to announce that our paper, “DRFMamba: Multi-focus Microscopic Image Registration Fusion Based on Vision Mamba,” has been accepted for publication as a Regular Paper in IEEE Transactions on Multimedia (Impact Factory=9.7).
Multi-focus microscopy is widely used in biomedical and scientific imaging, but producing a single, high-quality all-in-focus image remains challenging due to focus variation and potential misalignment between source images. These issues can introduce artifacts, blur fine structures, and reduce the reliability of downstream analysis. To address this, our team led by Tao Tan proposed DRFMamba, a method that integrates multi-focus image registration and fusion within a unified framework, leveraging the strength of Vision Mamba-style modeling to better capture long-range dependencies and structural details in microscopic scenes.
This acceptance reflects our laboratory's continued efforts to advance multimedia intelligence and image understanding for scientific and medical applications. We look forward to sharing our work with the research community and exploring further collaborations around robust microscopic imaging and computational photography.