荧光寿命成像显微镜
显微镜
双光子激发显微术
反褶积
临床前影像学
生物成像
光学成像
分子成像
材料科学
生物相容性材料
成像技术
图像分辨率
医学影像学
纳米技术
计算机科学
动态成像
影像学
荧光
活体细胞成像
功能成像
分辨率(逻辑)
荧光显微镜
成像技术
光激活定位显微镜
生物发光成像
光学
自体荧光
时间分辨率
生物医学工程
作者
Wenxin Zhu,Chi Zhang,Jiahui Gui,Yibo Yang,Yuxin Wan,Xin Wang,Liying Qu,Ao Guo,Ziqing Zhang,Zhenqian Han,Weisong Zhao,Jiandong Feng
出处
期刊:Nature
[Nature Portfolio]
日期:2026-08-12
标识
DOI:10.1038/s41586-026-10889-7
摘要
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. A new chemistry-based super-resolution imaging framework is described, enabling 3D, laser-free, highly sensitive and ultralong-term imaging of live cells which overcomes the limitations in spatiotemporal resolution associated with reaction-based imaging methods.
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