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Luminescent-reaction-enabled super-resolution imaging

  • Wenxin Zhu
  • , Chi Zhang
  • , Jiahui Gui
  • , Yibo Yang
  • , Yuxin Wan
  • , Xin Wang
  • , Liying Qu
  • , Ao Guo
  • , Ziqing Zhang
  • , Zhenqian Han
  • , Weisong Zhao*
  • , Jiandong Feng*
  • *Corresponding author for this work
  • Laboratory of Experimental Physical Biology
  • Zhejiang University
  • Innovation Photonics and Imaging Center
  • Harbin Institute of Technology
  • Institute of Fundamental and Transdisciplinary Research

Research output: Contribution to journalArticlepeer-review

Abstract

By breaking the optical diffraction limit, super-resolution fluorescence microscopy has advanced our understanding of biological complexity under the framework of light-excited luminescence1. The use of external light excitation remains a key factor that shapes the imaging capabilities and live-cell compatibility of fluorescence-based approaches2. An alternative is the reaction-excited luminescence, such as electrochemiluminescence (ECL)3, chemiluminescence (CL)4 and bioluminescence (BL)5, providing a chemically defined toolbox for enabling different imaging merits, from ultrasensitive analysis6,7 to biocompatible imaging8,9. Despite its light-free excitation and high sensitivity, conventional luminescent-reaction-enabled imaging is fundamentally limited in spatiotemporal resolution owing to low photon budget10,11. Here we develop a chemistry-based super-resolution imaging framework, luminescent-reaction-enabled super-resolution imaging via entropy-weighted correlation combined with deconvolution (RIED). As an experimental–computational concept, RIED introduces a spatiotemporal recording strategy to uncover specific luminescent-reaction-enabled imaging information content, which is efficiently collected and computed to achieve super resolution using a reconstruction strategy adapted to reaction-driven photon statistics. We achieve super-resolution ECL, CL and BL imaging of intracellular organelles, attaining approximately 100 nm resolution. This approach is used for highly sensitive imaging of surface proteins and 41-h ultralong-term continuous super-resolution live-cell imaging of mitochondrial transfer dynamics. Our work establishes an emerging class of chemistry-enabled, laser-free super-resolution microscopy with expanded biological imaging versatilities.

Original languageEnglish
Pages (from-to)127-134
Number of pages8
JournalNature
Volume657
Issue number8130
DOIs
StatePublished - 3 Sep 2026
Externally publishedYes

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