Interferometric image scanning microscopy enables label-free super-resolution imaging of live cells

Qianxi Liang; Wei Ren; Peng Xi

doi:10.1038/s41377-026-02316-3

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Interferometric image scanning microscopy enables label-free super-resolution imaging of live cells

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- Interferometric image scanning microscopy enables label-free super-resolution imaging of live cells
- Interferometric image scanning microscopy enables label-free super-resolution imaging of live cells
- Light: Science & Applications 2026年15卷第8期页码：2506-2508
- Affiliations：
  
  Department of Biomedical Engineering, National Biomedical Imaging Center, College of Future Technology, Peking University, 100871 Beijing, China
- Author bio：
  
  Peng Xi (xipeng@pku.edu.cn)
- Funds：
- DOI：10.1038/s41377-026-02316-3
  中图分类号：
- 网络首发：2026-05-21，
  
  纸质出版：2026-08-31
- Accepted：
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Qianxi Liang, Wei Ren, Peng Xi. Interferometric image scanning microscopy enables label-free super-resolution imaging of live cells[J]. Light: Science & Applications, 2026,15(8):2506-2508.

Liang, Q. X., Ren, W. & Xi, P. Interferometric image scanning microscopy enables label-free super-resolution imaging of live cells. Light: Science & Applications, 15, 2506-2508 (2026).
Qianxi Liang, Wei Ren, Peng Xi. Interferometric image scanning microscopy enables label-free super-resolution imaging of live cells[J]. Light: Science & Applications, 2026,15(8):2506-2508. DOI： 10.1038/s41377-026-02316-3.

Liang, Q. X., Ren, W. & Xi, P. Interferometric image scanning microscopy enables label-free super-resolution imaging of live cells. Light: Science & Applications, 15, 2506-2508 (2026). DOI： 10.1038/s41377-026-02316-3.

摘要

Abstract

By implementing the super-resolution principles of image scanning microscopy in coherent imaging

Küppers et al. introduced interferometric image scanning microscopy

achieving 120 nm label-free lateral resolution with minimal phototoxicity and offering a robust tool for long-term observation of intracellular dynamics.

关键词

Keywords

references

Laissue, P. P. et al. Assessing phototoxicity in live fluorescence imaging. Nat. Methods 14 , 657–661 (2017)..

Küppers, M. & Moerner, W. E. Interferometric image scanning microscopy for label-free imaging at 120 nm lateral resolution inside live cells. Light Sci. Appl. 15 , 129 (2026)..

Sheppard, C. J. R., Mehta, S. B. & Heintzmann, R. Superresolution by image scanning microscopy using pixel reassignment. Opt. Lett. 38 , 2889–2892 (2013)..

Müller, C. B. & Enderlein, J. Image scanning microscopy. Phys. Rev. Lett. 104 , 198101 (2010)..

Roth, S. et al. Optical photon reassignment microscopy (OPRA). Opt. Nanosc. 2 , 5 (2013)..

De Luca, G. M. R. et al. Re-scan confocal microscopy: scanning twice for better resolution. Biomed. Opt. Express 4 , 2644–2656 (2013)..

York, A. G. et al. Instant supe r-resolution imaging in live cells and embryos via analog image processing. Nat. Methods 10 , 1122–1126 (2013)..

Azuma, T. & Kei, T. Super-resolution spinning-disk confocal microscopy using optical photon reassignment. Opt. Express 23 , 15003–15011 (2015)..

York, A. G. et al. Resolution doubling in live, multicellular organisms via multifocal structured illumination microscopy. Nat. Methods 9 , 749–754 (2012)..

Schulz, O. et al. Resolution doubling in fluorescence microscopy with confocal spinning-disk image scanning microscopy. Proc. Natl. Acad. Sci. USA 110 , 21000–21005 (2013)..

Castello, M. et al. A robust and versatile platform for image scanning microscopy enabling super-resolution FLIM. Nat. Methods 16 , 175–178 (2019)..

Liang, Q. X. et al. High-fidelity tissue super-resolution imaging achieved with confocal2 spinning-disk image scanning microscopy. Light Sci. Appl. 14 , 260 (2025)..

Ren, W. et al. Expanding super-resolution imaging versatility in organisms with multi-confocal image scanning microscopy. Natl. Sci. Rev. 11 , nwae303 (2024)..

Liao, J. H. et al. Deep-MSIM: fast image reconstruction with deep learning in multifocal structured illumination microscopy. Adv. Sci. 10 , 2300947 (2023)..

Ingaramo, M. et al. Richardson–Lucy deconvolution as a general tool for combining images with complementary strengths. ChemPhysChem 15 , 794–800 (2014)..

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