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Updated: Jun 12, 2026
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Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
Published on: June 30, 2018
Fluorescence localization and tracking imaging with a spectral-splitting perovskite single-pixel detector.
Yujin Liu1,2,3, Hongling Wan1, Xinyu Yin1
1Bi-optoelectronic-integration and Medical Instrumentation Laboratory, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong, 510555, China.
Nature Communications
|June 10, 2026
Summary
This study introduces a novel single-pixel imaging system for precise fluorescence and background fusion in surgery. The system uses perovskite photodetectors to overcome alignment issues, improving surgical accuracy and enabling real-time tumor tracking.
Area of Science:
- Medical Imaging
- Optical Engineering
- Materials Science
Background:
- Current image-guided surgery systems struggle with field-of-view misalignment and pixel offsets in dual-camera setups.
- These limitations can lead to significant surgical errors, impacting patient safety and outcomes.
Purpose of the Study:
- To develop an advanced fluorescence/background fusion imaging system for image-guided surgery.
- To overcome the limitations of existing dual-camera systems by improving precision and eliminating registration complexities.
Main Methods:
- Developed a single-pixel imaging system using spectral-splitting perovskite photodetectors.
- Incorporated gradient-optimized wide-bandgap perovskite filter layers for selective spectral detection.
- Utilized an active single-pixel imaging architecture for inherent field-of-view and pixel-level consistency.
Main Results:
- Achieved efficient separation of fluorescence (520 nm) and backscattered light (450 nm) with a high signal suppression ratio (S1/S2) of 57.
- Demonstrated a low detection limit of 50 nmol/mL for sodium fluorescein.
- Successfully performed real-time fluorescence-labeled tumor localization and tracking in murine models.
Conclusions:
- The developed single-pixel imaging system offers precise fluorescence/background fusion, enhancing surgical accuracy.
- The system eliminates the need for complex registration algorithms, simplifying surgical workflows.
- This technology provides a reliable fluorescence-targeting approach for advanced medical diagnostics and image-guided surgery.
