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Updated: Aug 13, 2025

4D Imaging of Protein Aggregation in Live Cells
Published on: April 5, 2013
NIR-II fluorescence in vivo confocal microscopy with aggregation-induced emission dots
Wenbin Yu1, Bing Guo2, Hequn Zhang1
1State Key Laboratory of Modern Optical Instrumentations, Centre for Optical and Electromagnetic Research, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310058, China.
This study introduces a novel near-infrared II (NIR-II) fluorescence confocal microscopy system for deep tissue bioimaging. The system achieves high-resolution 3D vascular imaging in vivo, overcoming limitations of traditional methods.
Area of Science:
- Biomedical Optics
- Fluorescence Microscopy
- Bioimaging
Background:
- Reduced light scattering in the second near-infrared (NIR-II) window (1,000-1,700 nm) enables deeper in vivo bioimaging.
- Conventional NIR-II bioimaging often uses wide-field illumination and 2D detection, limiting spatial resolution due to out-of-focus signals.
Purpose of the Study:
- To develop a NIR-II fluorescence confocal microscopic system for high-spatial resolution deep tissue imaging.
- To demonstrate the system's capability for in vivo cerebrovascular imaging and lifetime imaging.
Main Methods:
- Setup of a NIR-II fluorescence confocal microscopic system.
- Utilized aggregation-induced emission (AIE) dots as NIR-II fluorescent probes.
- Incorporated time-correlated single photon counting (TCSPC) and femtosecond laser excitation.
Main Results:
- Achieved 800 µm deep 3D in vivo cerebrovascular imaging in mice.
- Obtained a spatial resolution of 8.78 µm at a depth of 700 µm.
- Successfully performed in vivo confocal NIR-II fluorescence lifetime microscopic imaging (FLIM) of mouse cerebral vasculature.
Conclusions:
- NIR-II fluorescence confocal microscopy offers superior spatial resolution for deep tissue bioimaging compared to wide-field methods.
- The developed system enables high-resolution 3D vascular imaging and FLIM in vivo.
- This technology holds promise for advancing in vivo diagnostic and research applications.
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