High SNR 3D Imaging from Millimeter-scale Thick Tissues to Cellular Dynamics via Structured Illumination Microscopy
Abstract
Three-dimensional (3D) fluorescence imaging provides a vital approach for study of biological tissues with intricate structures, and optical sectioning structured illumination microscopy (OS-SIM) stands out for its high imaging speed, low phototoxicity and high spatial resolution. However, OS-SIM faces the problem of low signal-to-noise ratio (SNR) when using traditional decoding algorithms, especially in thick tissues. Here we propose a Hilbert-transform decoding and space domain based high-low (HT-SHiLo) algorithm for noise suppression in OS-SIM. We demonstrate HT-SHiLo algorithm can significantly improve the SNR of optical sectioning images at rapid processing speed, and double the imaging depth in thick tissues. With our OS-SIM system, we achieve high quality 3D images of various biological samples including mouse brains, Drosophila clock neurons, organoids, and live cells. We anticipate that this approach will render OS-SIM a powerful technique for research of cellular organelles or thick tissues in 3D morphology.
Cite
@article{arxiv.2412.05677,
title = {High SNR 3D Imaging from Millimeter-scale Thick Tissues to Cellular Dynamics via Structured Illumination Microscopy},
author = {Mengrui Wang and Manming Shu and Jiajing Yan and Chang Liu and Xiangda Fu and Jingxiang Zhang and Yuchen Lin and Hu Zhao and Yuwei Huang and Dingbang Ma and Yifan Ge and Huiwen Hao and Tianyu Zhao and Yansheng Liang and Shaowei Wang and Ming Lei},
journal= {arXiv preprint arXiv:2412.05677},
year = {2026}
}
Comments
32 pages, 11 figures