A Denoise Network for Structured Illumination Microscopy with Low-Light Exposure
Super-resolution structured illumination microscopy (SR-SIM) is one of the important techniques that are most suitable for live-cell imaging. The reconstructed SR-SIM images are noisy once the raw images are recorded with low-light exposure. Here, we propose a new network (entitled the ND-SIM network) to denoise the SR images reconstructed using frequency-domain algorithms (FDAs). We demonstrate that ND-SIM can yield artifact-free SR images using raw images with an average photon count down to 20 per pixel while achieving comparable resolution to the ground truth (GT) obtained with high-light exposure. We can envisage that the ND-SIM will be widely applied for the long-term, super-resolution live-cell imaging of various bioprocesses in the future.
Authors
- Peng Gao (ORCID: https://orcid.org/0000-0002-5354-3944)
- Liangfeng Song (ORCID: https://orcid.org/0009-0003-3209-3176)
- Juanjuan Zheng (ORCID: https://orcid.org/0000-0002-6461-0807)
- Kequn Zhuo
- Kai Wen (ORCID: https://orcid.org/0000-0002-5356-8682)
- Sha An (ORCID: https://orcid.org/0000-0002-4983-7886)
- Xin Liu (ORCID: https://orcid.org/0000-0002-4371-018X)
- Jinze Li (ORCID: https://orcid.org/0000-0002-2629-9173)
- Ying Ma (ORCID: https://orcid.org/0000-0002-3105-375X)
Institutions
- Ministry of Education of the People's Republic of China (CN)
- Xidian University (CN)
Publication Details
- Journal
- Photonics
- Published
- 2024-08-21
- DOI
- https://doi.org/10.3390/photonics11080776
- Citations
- 2
- Primary Topic
- Advanced Fluorescence Microscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.32
Funders
- National Key Research and Development Program of China
- Key Research and Development Projects of Shaanxi Province