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Updated: Jun 28, 2026

Synthesis of Core-shell Lanthanide-doped Upconversion Nanocrystals for Cellular Applications
13:51

Synthesis of Core-shell Lanthanide-doped Upconversion Nanocrystals for Cellular Applications

Published on: November 10, 2017

Deep-Learning-Enhanced Bioimaging Via Energy Traps Regulated Lanthanide Nanoparticles.

Renrui Sun1, Mengyang Lu2, Zhihua Wang3

  • 1Department of Chemistry, College of Sciences, Shanghai University, Shanghai, China.

Angewandte Chemie (International Ed. in English)
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel method using energy traps in lanthanide nanoparticles to overcome the trade-off between imaging depth and resolution. This breakthrough enhances deep-tissue bioimaging for precision medicine applications.

Keywords:
NIR‐II luminescencebioimagingdeep learninglanthanide nanoparticles

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Nanotechnology

Background:

  • High-resolution biological imaging in deep tissues is crucial for precision medicine.
  • Lanthanide-doped nanoparticles offer in vivo near-infrared imaging but face a resolution-depth trade-off.
  • Er3+-based emission (1530 nm) provides high resolution but limited penetration; 980/1060 nm emission offers deeper penetration but lower resolution.

Purpose of the Study:

  • To overcome the fundamental contradiction between imaging depth and resolution in deep-tissue bioimaging.
  • To introduce a strategy for actively regulating energy distribution within lanthanide nanoparticles.
  • To enable selective enhancement of emission channels for improved imaging performance.

Main Methods:

  • Introduced energy traps to regulate energy distribution in lanthanide nanoparticles.
  • Utilized excitation-wavelength switching and directional energy transfer modulation.
  • Integrated deep-tissue penetration with high-resolution emission using a deep-learning network.

Main Results:

  • Achieved controlled access to sensitizer self-emission or activator sensitization.
  • Enabled selective enhancement of specific emission channels.
  • Demonstrated a 93% enhancement in imaging performance for short-wavelength probes.

Conclusions:

  • Developed a robust and adaptable platform for high-contrast deep-tissue bioimaging.
  • The energy trap strategy effectively combines deep penetration and high resolution.
  • Paved the way for advanced point-of-care diagnostics and precision medicine.