Latent-centric Isotropic Resolution Enhancement for Expansion Microscopy Imaging via Neural Compression and Self-supervised Learning
Puwei Lian, Tzu‐Yi Chuang, Ya-Ding Liu, Li‐An Chu, Sheng-Cheng Chang, Yu-Chen Kuo, Wei-Kun Chang, Ann-Shyn Chiang, Gary H. Chang
This paper introduces a self-supervised framework for isotropic super-resolution and compression in expansion microscopy, enabling efficient storage and analysis of whole-organ datasets.
bioRxiv · Feb 10, 2026 · PreprintBioinformatics